tidyr
Haley Jeppson, Joe Papio,
Sam Tyner
June 14, 2017
The tidyr package
What is tidy data?
Happy families are all alike; every unhappy family is unhappy in its own way.
Leo Tolstoy
- Resource: follow along tidyr vignette
- available as
vignette("tidy-data", package="tidyr") - vignette is version of the tidy data paper with updated code
Outline
- Different sources of messiness
- Key-Value pairs
tidyr:spreadandgather,separate
Data is usually in a spreadsheet format, but…
there’s different ways of encoding the same information:
Option #1
## name treatmenta treatmentb
## 1 John Smith NA 18
## 2 Jane Doe 4 1
## 3 Mary Johnson 6 7Option #2
## treatment John.Smith Jane.Doe Mary.Johnson
## 1 a NA 4 6
## 2 b 18 1 7Neither #1 nor #2 are “clean” versions of the data: observed information is part of the data structure; some implicit information is assumed
This format is not ideal for data analysis
library(ggplot2)
ggplot(french_fries) +
geom_boxplot(aes(x="1_buttery", y=buttery), fill = "cyan4") +
geom_boxplot(aes(x = "2_grassy", y = grassy), fill = "darkorange2") +
geom_boxplot(aes(x = "3_painty", y = painty), fill = "darkorchid1") +
geom_boxplot(aes(x = "4_potato", y = potato), fill = "chartreuse3") +
geom_boxplot(aes(x = "5_rancid", y = rancid), fill = "deeppink") +
xlab("variable") + ylab("rating")
What we have and what we want
We want to change this wide format:
to this long format:
Sources of Messiness
- Column headers are values, not variable names.
e.g. treatmenta, treatmentb - Multiple variables are stored in one column.
e.g. Fall 2015, Spring 2016 or “1301 8th St SE, Orange City, Iowa 51041 (42.99755, -96.04149)”, “2102 Durant, Harlan, Iowa 51537 (41.65672, -95.33780)” - Multiple observational units are stored in the same table.
- A single observational unit is stored in multiple tables.
Tidy data
- Each variable forms one column.
- Each observation forms one row.
- Each type of observational unit forms a table.
Clean version of the example
## treatment patient score
## 1 a John Smith NA
## 2 b John Smith 18
## 3 a Jane Doe 4
## 4 b Jane Doe 1
## 5 a Mary Johnson 6
## 6 b Mary Johnson 7treatmentandpatientuniquely describe a single row in the dataset.treatmentandpatientare key variables,scoreis a measurement variable- this makes
treatment-patientandscorea key-value pair
Key-value pairs (KVP)
Key-Value pairs (KVP) - also attribute-value, field-value, name-value: abstract data representation that allows a lot of flexibility
One way of telling whether a data set is tidy is to check that all keys for a value are aligned in one row:
 |
 |
| Untidy data | Tidy data |
Key-value pairs (KVP)
Keys/Identifiers:
- Identify a record (must be unique)
- Example: Indices on an random variable
- Fixed by design of experiment (known in advance)
- May be single or composite (may have one or more variables)
Values/Measures:
- Collected during the experiment (not known in advance)
- Usually numeric quantities
Tidying data - Plan of attack
Very few functions are needed for tidying data:
- Messy (1):
tidyrfunctionsgatherandspread.
gather (data, key, value, ...): take multiple columns and collapse into key-value pairs
spread (data, key, value, fill = NA): spread a key-value pair across multiple columns. - Messy (2):
tidyrfunctionseparate (data, col, into, sep = " "): separate one column into multiple columns - Messy (3):
dplyr- some combination of the functions discussed previously - Messy (4):
dplyrfunctionalityjoin(and friends) to combine multiple data sets
Gather
- When gathering, you need to specify the keys (identifiers) and the values (measures).
french_fries_long <- french_fries %>% gather(key = variable, value = rating, potato:painty)
french_fries_long## time treatment subject rep variable rating
## 1 1 1 3 1 potato 2.9
## 2 1 1 3 2 potato 14.0
## 3 1 1 10 1 potato 11.0
## 4 1 1 10 2 potato 9.9
## 5 1 1 15 1 potato 1.2
## 6 1 1 15 2 potato 8.8
## 7 1 1 16 1 potato 9.0
## 8 1 1 16 2 potato 8.2
## 9 1 1 19 1 potato 7.0
## 10 1 1 19 2 potato 13.0
## 11 1 1 31 1 potato 12.2
## 12 1 1 31 2 potato 12.8
## 13 1 1 51 1 potato 8.6
## 14 1 1 51 2 potato 10.2
## 15 1 1 52 1 potato 5.8
## 16 1 1 52 2 potato 7.0
## 17 1 1 63 1 potato 8.3
## 18 1 1 63 2 potato 2.9
## 19 1 1 78 1 potato 4.9
## 20 1 1 78 2 potato 8.8
## 21 1 1 79 1 potato 5.1
## 22 1 1 79 2 potato 10.4
## 23 1 1 86 1 potato 5.2
## 24 1 1 86 2 potato 3.0
## 25 1 2 3 1 potato 13.9
## 26 1 2 3 2 potato 13.4
## 27 1 2 10 1 potato 9.3
## 28 1 2 10 2 potato 11.0
## 29 1 2 15 1 potato 9.0
## 30 1 2 15 2 potato 7.0
## 31 1 2 16 1 potato 4.6
## 32 1 2 16 2 potato 5.0
## 33 1 2 19 1 potato 9.5
## 34 1 2 19 2 potato 11.3
## 35 1 2 31 1 potato 10.6
## 36 1 2 31 2 potato 11.4
## 37 1 2 51 1 potato 11.7
## 38 1 2 51 2 potato 8.5
## 39 1 2 52 1 potato 10.4
## 40 1 2 52 2 potato 7.1
## 41 1 2 63 1 potato 13.1
## 42 1 2 63 2 potato 7.7
## 43 1 2 78 1 potato 9.1
## 44 1 2 78 2 potato 4.3
## 45 1 2 79 1 potato 8.3
## 46 1 2 79 2 potato 5.1
## 47 1 2 86 1 potato 6.1
## 48 1 2 86 2 potato 3.2
## 49 1 3 3 1 potato 14.1
## 50 1 3 3 2 potato 9.5
## 51 1 3 10 1 potato 11.3
## 52 1 3 10 2 potato 10.1
## 53 1 3 15 1 potato 5.8
## 54 1 3 15 2 potato 8.0
## 55 1 3 16 1 potato 7.8
## 56 1 3 16 2 potato 5.2
## 57 1 3 19 1 potato 7.2
## 58 1 3 19 2 potato 11.1
## 59 1 3 31 1 potato 7.1
## 60 1 3 31 2 potato 12.5
## 61 1 3 51 1 potato 13.6
## 62 1 3 51 2 potato 8.5
## 63 1 3 52 1 potato 10.6
## 64 1 3 52 2 potato 10.3
## 65 1 3 63 1 potato 8.6
## 66 1 3 63 2 potato 10.3
## 67 1 3 78 1 potato 7.4
## 68 1 3 78 2 potato 5.0
## 69 1 3 79 1 potato 8.8
## 70 1 3 79 2 potato 8.3
## 71 1 3 86 1 potato 6.7
## 72 1 3 86 2 potato 7.9
## 73 2 1 3 1 potato 9.0
## 74 2 1 3 2 potato 5.5
## 75 2 1 10 1 potato 8.0
## 76 2 1 10 2 potato 10.2
## 77 2 1 15 1 potato 5.3
## 78 2 1 15 2 potato 7.3
## 79 2 1 16 1 potato 4.1
## 80 2 1 16 2 potato 11.0
## 81 2 1 19 1 potato 8.7
## 82 2 1 19 2 potato 11.0
## 83 2 1 31 1 potato 9.7
## 84 2 1 31 2 potato 4.1
## 85 2 1 51 1 potato 9.4
## 86 2 1 51 2 potato 14.3
## 87 2 1 52 1 potato 6.5
## 88 2 1 52 2 potato 8.2
## 89 2 1 63 1 potato 8.9
## 90 2 1 63 2 potato 8.7
## 91 2 1 78 1 potato 3.3
## 92 2 1 78 2 potato 4.5
## 93 2 1 79 1 potato 5.9
## 94 2 1 79 2 potato 6.0
## 95 2 1 86 1 potato 6.7
## 96 2 1 86 2 potato 5.9
## 97 2 2 3 1 potato 14.1
## 98 2 2 3 2 potato 3.3
## 99 2 2 10 1 potato 11.2
## 100 2 2 10 2 potato 8.2
## 101 2 2 15 1 potato 12.7
## 102 2 2 15 2 potato 3.9
## 103 2 2 16 1 potato 5.4
## 104 2 2 16 2 potato 2.6
## 105 2 2 19 1 potato 11.2
## 106 2 2 19 2 potato 4.3
## 107 2 2 31 1 potato 10.6
## 108 2 2 31 2 potato 6.6
## 109 2 2 51 1 potato 9.2
## 110 2 2 51 2 potato 11.6
## 111 2 2 52 1 potato 9.7
## 112 2 2 52 2 potato 10.2
## 113 2 2 63 1 potato 12.2
## 114 2 2 63 2 potato 10.7
## 115 2 2 78 1 potato 6.7
## 116 2 2 78 2 potato 7.0
## 117 2 2 79 1 potato 10.9
## 118 2 2 79 2 potato 10.4
## 119 2 2 86 1 potato 3.9
## 120 2 2 86 2 potato 8.3
## 121 2 3 3 1 potato 6.5
## 122 2 3 3 2 potato 13.8
## 123 2 3 10 1 potato 10.3
## 124 2 3 10 2 potato 10.2
## 125 2 3 15 1 potato 6.3
## 126 2 3 15 2 potato 10.4
## 127 2 3 16 1 potato 8.2
## 128 2 3 16 2 potato 1.5
## 129 2 3 19 1 potato 11.4
## 130 2 3 19 2 potato 6.0
## 131 2 3 31 1 potato 10.5
## 132 2 3 31 2 potato 8.1
## 133 2 3 51 1 potato 12.2
## 134 2 3 51 2 potato 12.1
## 135 2 3 52 1 potato 10.7
## 136 2 3 52 2 potato 9.1
## 137 2 3 63 1 potato 6.2
## 138 2 3 63 2 potato 6.5
## 139 2 3 78 1 potato 2.7
## 140 2 3 78 2 potato 4.4
## 141 2 3 79 1 potato 7.7
## 142 2 3 79 2 potato 6.7
## 143 2 3 86 1 potato 7.7
## 144 2 3 86 2 potato 4.0
## 145 3 1 3 1 potato 11.8
## 146 3 1 3 2 potato 7.8
## 147 3 1 10 1 potato 9.3
## 148 3 1 10 2 potato 9.1
## 149 3 1 15 1 potato 3.4
## 150 3 1 15 2 potato 5.7
## 151 3 1 16 1 potato 1.5
## 152 3 1 16 2 potato 4.2
## 153 3 1 19 1 potato 11.2
## 154 3 1 19 2 potato 11.8
## 155 3 1 31 1 potato 8.2
## 156 3 1 31 2 potato 8.8
## 157 3 1 51 1 potato 6.1
## 158 3 1 51 2 potato 10.1
## 159 3 1 52 1 potato 6.6
## 160 3 1 52 2 potato 10.4
## 161 3 1 63 1 potato 8.9
## 162 3 1 63 2 potato 10.8
## 163 3 1 78 1 potato 2.5
## 164 3 1 78 2 potato 6.3
## 165 3 1 79 1 potato 8.6
## 166 3 1 79 2 potato 3.8
## 167 3 1 86 1 potato 9.0
## 168 3 1 86 2 potato 10.6
## 169 3 2 3 1 potato 4.0
## 170 3 2 3 2 potato 9.9
## 171 3 2 10 1 potato 10.1
## 172 3 2 10 2 potato 9.0
## 173 3 2 15 1 potato 8.3
## 174 3 2 15 2 potato 6.1
## 175 3 2 16 1 potato 2.6
## 176 3 2 16 2 potato 9.6
## 177 3 2 19 1 potato 4.8
## 178 3 2 19 2 potato 5.6
## 179 3 2 31 1 potato 10.2
## 180 3 2 31 2 potato 10.0
## 181 3 2 51 1 potato 6.6
## 182 3 2 51 2 potato 9.3
## 183 3 2 52 1 potato 7.2
## 184 3 2 52 2 potato 8.2
## 185 3 2 63 1 potato 12.8
## 186 3 2 63 2 potato 10.7
## 187 3 2 78 1 potato 7.5
## 188 3 2 78 2 potato 2.4
## 189 3 2 79 1 potato 8.4
## 190 3 2 79 2 potato 5.4
## 191 3 2 86 1 potato 9.4
## 192 3 2 86 2 potato 5.2
## 193 3 3 3 1 potato 7.3
## 194 3 3 3 2 potato 7.3
## 195 3 3 10 1 potato 9.6
## 196 3 3 10 2 potato 11.0
## 197 3 3 15 1 potato 5.2
## 198 3 3 15 2 potato 6.5
## 199 3 3 16 1 potato 10.6
## 200 3 3 16 2 potato 8.6
## 201 3 3 19 1 potato 6.4
## 202 3 3 19 2 potato 9.7
## 203 3 3 31 1 potato 7.6
## 204 3 3 31 2 potato 8.7
## 205 3 3 51 1 potato 9.1
## 206 3 3 51 2 potato 9.3
## 207 3 3 52 1 potato 8.1
## 208 3 3 52 2 potato 10.2
## 209 3 3 63 1 potato 9.0
## 210 3 3 63 2 potato 9.1
## 211 3 3 78 1 potato 9.2
## 212 3 3 78 2 potato 2.0
## 213 3 3 79 1 potato 7.5
## 214 3 3 79 2 potato 8.7
## 215 3 3 86 1 potato 5.2
## 216 3 3 86 2 potato 5.7
## 217 4 1 3 1 potato 13.6
## 218 4 1 3 2 potato 5.3
## 219 4 1 10 1 potato 8.1
## 220 4 1 10 2 potato 9.1
## 221 4 1 15 1 potato 8.1
## 222 4 1 15 2 potato 7.2
## 223 4 1 16 1 potato 6.8
## 224 4 1 16 2 potato 10.5
## 225 4 1 19 1 potato 8.9
## 226 4 1 19 2 potato 6.9
## 227 4 1 31 1 potato 11.7
## 228 4 1 31 2 potato 3.4
## 229 4 1 51 1 potato 9.3
## 230 4 1 51 2 potato 13.2
## 231 4 1 52 1 potato 8.5
## 232 4 1 52 2 potato 8.9
## 233 4 1 63 1 potato 10.4
## 234 4 1 63 2 potato 11.4
## 235 4 1 78 1 potato 9.4
## 236 4 1 78 2 potato 3.2
## 237 4 1 79 1 potato 8.4
## 238 4 1 79 2 potato 7.0
## 239 4 1 86 1 potato 8.3
## 240 4 1 86 2 potato 4.1
## 241 4 2 3 1 potato 12.9
## 242 4 2 3 2 potato 12.7
## 243 4 2 10 1 potato 8.4
## 244 4 2 10 2 potato 9.0
## 245 4 2 15 1 potato 5.1
## 246 4 2 15 2 potato 8.7
## 247 4 2 16 1 potato 3.8
## 248 4 2 16 2 potato 7.4
## 249 4 2 19 1 potato 10.5
## 250 4 2 19 2 potato 12.9
## 251 4 2 31 1 potato 6.8
## 252 4 2 31 2 potato 10.5
## 253 4 2 51 1 potato 10.9
## 254 4 2 51 2 potato 13.2
## 255 4 2 52 1 potato 6.8
## 256 4 2 52 2 potato 8.3
## 257 4 2 63 1 potato 8.0
## 258 4 2 63 2 potato 11.6
## 259 4 2 78 1 potato 3.9
## 260 4 2 78 2 potato 1.1
## 261 4 2 79 1 potato 8.5
## 262 4 2 79 2 potato 10.7
## 263 4 2 86 1 potato 2.7
## 264 4 2 86 2 potato 2.5
## 265 4 3 3 1 potato 1.5
## 266 4 3 3 2 potato 5.9
## 267 4 3 10 1 potato 10.3
## 268 4 3 10 2 potato 9.5
## 269 4 3 15 1 potato 5.2
## 270 4 3 15 2 potato 7.0
## 271 4 3 16 1 potato 12.7
## 272 4 3 16 2 potato 6.8
## 273 4 3 19 1 potato 5.8
## 274 4 3 19 2 potato 4.7
## 275 4 3 31 1 potato 11.0
## 276 4 3 31 2 potato 9.2
## 277 4 3 51 1 potato 7.0
## 278 4 3 51 2 potato 10.3
## 279 4 3 52 1 potato 3.3
## 280 4 3 52 2 potato 5.2
## 281 4 3 63 1 potato 5.6
## 282 4 3 63 2 potato 5.8
## 283 4 3 78 1 potato 7.7
## 284 4 3 78 2 potato 3.5
## 285 4 3 79 1 potato 5.7
## 286 4 3 79 2 potato 9.2
## 287 4 3 86 1 potato 1.4
## 288 4 3 86 2 potato 2.5
## 289 5 1 3 1 potato 14.0
## 290 5 1 3 2 potato 12.9
## 291 5 1 10 1 potato 9.6
## 292 5 1 10 2 potato 8.7
## 293 5 1 15 1 potato 4.1
## 294 5 1 15 2 potato 3.2
## 295 5 1 16 1 potato 10.1
## 296 5 1 16 2 potato 10.5
## 297 5 1 19 1 potato 5.3
## 298 5 1 19 2 potato 9.9
## 299 5 1 31 1 potato 11.2
## 300 5 1 31 2 potato 9.9
## 301 5 1 51 1 potato 9.2
## 302 5 1 51 2 potato 12.5
## 303 5 1 52 1 potato 4.1
## 304 5 1 52 2 potato 6.4
## 305 5 1 63 1 potato 9.8
## 306 5 1 63 2 potato 4.2
## 307 5 1 78 1 potato 3.3
## 308 5 1 78 2 potato 5.0
## 309 5 1 79 1 potato 8.0
## 310 5 1 79 2 potato 8.1
## 311 5 1 86 1 potato 2.2
## 312 5 1 86 2 potato 3.6
## 313 5 2 3 1 potato 3.4
## 314 5 2 3 2 potato 13.7
## 315 5 2 10 1 potato 9.2
## 316 5 2 10 2 potato 8.5
## 317 5 2 15 1 potato 4.1
## 318 5 2 15 2 potato 1.5
## 319 5 2 16 1 potato 13.4
## 320 5 2 16 2 potato 11.0
## 321 5 2 19 1 potato 7.6
## 322 5 2 19 2 potato 5.5
## 323 5 2 31 1 potato 5.4
## 324 5 2 31 2 potato 6.5
## 325 5 2 51 1 potato 8.0
## 326 5 2 51 2 potato 12.7
## 327 5 2 52 1 potato 4.9
## 328 5 2 52 2 potato 5.9
## 329 5 2 63 1 potato 4.4
## 330 5 2 63 2 potato 7.5
## 331 5 2 78 1 potato 5.6
## 332 5 2 78 2 potato 2.4
## 333 5 2 79 1 potato 10.1
## 334 5 2 79 2 potato 6.1
## 335 5 2 86 1 potato 5.8
## 336 5 2 86 2 potato 3.2
## 337 5 3 3 1 potato 4.0
## 338 5 3 3 2 potato 10.1
## 339 5 3 10 1 potato 10.7
## 340 5 3 10 2 potato 9.0
## 341 5 3 15 1 potato NA
## 342 5 3 15 2 potato 3.6
## 343 5 3 16 1 potato 5.2
## 344 5 3 16 2 potato 6.7
## 345 5 3 19 1 potato 10.2
## 346 5 3 19 2 potato 7.1
## 347 5 3 31 1 potato 12.3
## 348 5 3 31 2 potato 11.5
## 349 5 3 51 1 potato 10.6
## 350 5 3 51 2 potato 7.5
## 351 5 3 52 1 potato 6.3
## 352 5 3 52 2 potato 4.0
## 353 5 3 63 1 potato 9.1
## 354 5 3 63 2 potato 9.0
## 355 5 3 78 1 potato 3.4
## 356 5 3 78 2 potato 1.5
## 357 5 3 79 1 potato 7.9
## 358 5 3 79 2 potato 9.4
## 359 5 3 86 1 potato 5.4
## 360 5 3 86 2 potato 3.6
## 361 6 1 3 1 potato 0.4
## 362 6 1 3 2 potato 3.3
## 363 6 1 10 1 potato 13.2
## 364 6 1 10 2 potato 10.0
## 365 6 1 15 1 potato 0.0
## 366 6 1 15 2 potato 2.6
## 367 6 1 16 1 potato 4.9
## 368 6 1 16 2 potato 8.9
## 369 6 1 19 1 potato 12.2
## 370 6 1 19 2 potato 11.1
## 371 6 1 31 1 potato 12.0
## 372 6 1 31 2 potato 8.2
## 373 6 1 51 1 potato 10.2
## 374 6 1 51 2 potato 8.5
## 375 6 1 52 1 potato 3.8
## 376 6 1 52 2 potato 3.7
## 377 6 1 63 1 potato 3.1
## 378 6 1 63 2 potato 4.2
## 379 6 1 78 1 potato 1.5
## 380 6 1 78 2 potato 1.1
## 381 6 1 79 1 potato 11.4
## 382 6 1 79 2 potato 7.9
## 383 6 1 86 1 potato 1.0
## 384 6 1 86 2 potato 2.7
## 385 6 2 3 1 potato 7.3
## 386 6 2 3 2 potato 1.8
## 387 6 2 10 1 potato 10.7
## 388 6 2 10 2 potato 11.4
## 389 6 2 15 1 potato 3.4
## 390 6 2 15 2 potato 4.6
## 391 6 2 16 1 potato 11.8
## 392 6 2 16 2 potato 10.8
## 393 6 2 19 1 potato 7.6
## 394 6 2 19 2 potato 11.1
## 395 6 2 31 1 potato 11.4
## 396 6 2 31 2 potato 6.9
## 397 6 2 51 1 potato 10.6
## 398 6 2 51 2 potato 6.3
## 399 6 2 52 1 potato 6.3
## 400 6 2 52 2 potato 5.6
## 401 6 2 63 1 potato 5.2
## 402 6 2 63 2 potato 6.1
## 403 6 2 78 1 potato 3.4
## 404 6 2 78 2 potato 1.3
## 405 6 2 79 1 potato 5.7
## 406 6 2 79 2 potato 9.4
## 407 6 2 86 1 potato 6.4
## 408 6 2 86 2 potato 3.3
## 409 6 3 3 1 potato 2.2
## 410 6 3 3 2 potato 5.3
## 411 6 3 10 1 potato 10.8
## 412 6 3 10 2 potato 11.5
## 413 6 3 15 1 potato 1.0
## 414 6 3 15 2 potato 4.3
## 415 6 3 16 1 potato 5.3
## 416 6 3 16 2 potato 12.1
## 417 6 3 19 1 potato 10.6
## 418 6 3 19 2 potato 6.1
## 419 6 3 31 1 potato 8.3
## 420 6 3 31 2 potato 8.1
## 421 6 3 51 1 potato 12.4
## 422 6 3 51 2 potato 8.5
## 423 6 3 52 1 potato 4.4
## 424 6 3 52 2 potato 3.9
## 425 6 3 63 1 potato 6.5
## 426 6 3 63 2 potato 11.4
## 427 6 3 78 1 potato 5.5
## 428 6 3 78 2 potato 4.3
## 429 6 3 79 1 potato 8.4
## 430 6 3 79 2 potato 8.8
## 431 6 3 86 1 potato 2.2
## 432 6 3 86 2 potato 4.1
## 433 7 1 3 1 potato 2.9
## 434 7 1 3 2 potato 0.8
## 435 7 1 10 1 potato 11.0
## 436 7 1 10 2 potato 8.7
## 437 7 1 15 1 potato 1.2
## 438 7 1 15 2 potato 2.9
## 439 7 1 16 1 potato 9.0
## 440 7 1 16 2 potato 7.2
## 441 7 1 19 1 potato 7.0
## 442 7 1 19 2 potato 5.5
## 443 7 1 31 1 potato 12.2
## 444 7 1 31 2 potato 9.4
## 445 7 1 51 1 potato 8.6
## 446 7 1 51 2 potato 14.1
## 447 7 1 52 1 potato 5.8
## 448 7 1 52 2 potato 3.2
## 449 7 1 63 1 potato 8.3
## 450 7 1 63 2 potato 6.2
## 451 7 1 78 1 potato 4.9
## 452 7 1 78 2 potato 0.5
## 453 7 1 79 1 potato 5.1
## 454 7 1 79 2 potato 9.9
## 455 7 1 86 1 potato 5.2
## 456 7 1 86 2 potato 1.2
## 457 7 2 3 1 potato 1.5
## 458 7 2 3 2 potato 3.5
## 459 7 2 10 1 potato 10.5
## 460 7 2 10 2 potato 9.6
## 461 7 2 15 1 potato 0.4
## 462 7 2 15 2 potato 1.7
## 463 7 2 16 1 potato 3.7
## 464 7 2 16 2 potato 8.1
## 465 7 2 19 1 potato 6.5
## 466 7 2 19 2 potato 9.3
## 467 7 2 31 1 potato 6.1
## 468 7 2 31 2 potato 7.0
## 469 7 2 51 1 potato 7.3
## 470 7 2 51 2 potato 12.4
## 471 7 2 52 1 potato 4.1
## 472 7 2 52 2 potato 4.2
## 473 7 2 63 1 potato 10.4
## 474 7 2 63 2 potato 9.8
## 475 7 2 78 1 potato 1.3
## 476 7 2 78 2 potato 1.4
## 477 7 2 79 1 potato 7.3
## 478 7 2 79 2 potato 6.6
## 479 7 2 86 1 potato 1.2
## 480 7 2 86 2 potato 3.6
## 481 7 3 3 1 potato 0.9
## 482 7 3 3 2 potato 2.6
## 483 7 3 10 1 potato 7.1
## 484 7 3 10 2 potato 9.5
## 485 7 3 15 1 potato 1.2
## 486 7 3 15 2 potato 1.0
## 487 7 3 16 1 potato 12.7
## 488 7 3 16 2 potato 10.8
## 489 7 3 19 1 potato 8.6
## 490 7 3 19 2 potato 9.0
## 491 7 3 31 1 potato 6.4
## 492 7 3 31 2 potato 12.0
## 493 7 3 51 1 potato 9.4
## 494 7 3 51 2 potato 8.7
## 495 7 3 52 1 potato 6.4
## 496 7 3 52 2 potato 5.7
## 497 7 3 63 1 potato 9.5
## 498 7 3 63 2 potato 10.7
## 499 7 3 78 1 potato 4.3
## 500 7 3 78 2 potato 0.2
## 501 7 3 79 1 potato 7.2
## 502 7 3 79 2 potato 6.5
## 503 7 3 86 1 potato 3.0
## 504 7 3 86 2 potato 2.4
## 505 8 1 3 1 potato 3.5
## 506 8 1 3 2 potato 0.6
## 507 8 1 10 1 potato 10.2
## 508 8 1 10 2 potato 8.6
## 509 8 1 15 1 potato 1.9
## 510 8 1 15 2 potato 0.6
## 511 8 1 16 1 potato 2.4
## 512 8 1 16 2 potato 0.9
## 513 8 1 19 1 potato 5.4
## 514 8 1 19 2 potato 11.0
## 515 8 1 31 1 potato 4.0
## 516 8 1 31 2 potato 6.6
## 517 8 1 51 1 potato 14.9
## 518 8 1 51 2 potato 11.5
## 519 8 1 52 1 potato 2.1
## 520 8 1 52 2 potato 1.7
## 521 8 1 63 1 potato 5.9
## 522 8 1 63 2 potato 3.8
## 523 8 1 78 1 potato 1.5
## 524 8 1 78 2 potato 1.6
## 525 8 1 79 1 potato 10.5
## 526 8 1 79 2 potato 9.8
## 527 8 1 86 1 potato 3.8
## 528 8 1 86 2 potato 1.4
## 529 8 2 3 1 potato 0.9
## 530 8 2 3 2 potato 0.5
## 531 8 2 10 1 potato 10.9
## 532 8 2 10 2 potato 10.3
## 533 8 2 15 1 potato 3.2
## 534 8 2 15 2 potato 2.3
## 535 8 2 16 1 potato 4.5
## 536 8 2 16 2 potato 5.3
## 537 8 2 19 1 potato 11.2
## 538 8 2 19 2 potato 8.7
## 539 8 2 31 1 potato 7.8
## 540 8 2 31 2 potato 9.9
## 541 8 2 51 1 potato 13.8
## 542 8 2 51 2 potato 8.5
## 543 8 2 52 1 potato 3.9
## 544 8 2 52 2 potato 0.0
## 545 8 2 63 1 potato 3.9
## 546 8 2 63 2 potato 5.7
## 547 8 2 78 1 potato 4.0
## 548 8 2 78 2 potato 2.1
## 549 8 2 79 1 potato 8.2
## 550 8 2 79 2 potato 5.7
## 551 8 2 86 1 potato 1.3
## 552 8 2 86 2 potato 2.8
## 553 8 3 3 1 potato 1.5
## 554 8 3 3 2 potato 0.5
## 555 8 3 10 1 potato 10.0
## 556 8 3 10 2 potato 10.9
## 557 8 3 15 1 potato 0.6
## 558 8 3 15 2 potato 0.2
## 559 8 3 16 1 potato 2.2
## 560 8 3 16 2 potato 3.3
## 561 8 3 19 1 potato 11.1
## 562 8 3 19 2 potato 11.5
## 563 8 3 31 1 potato 4.2
## 564 8 3 31 2 potato 8.1
## 565 8 3 51 1 potato 14.5
## 566 8 3 51 2 potato 14.0
## 567 8 3 52 1 potato 0.0
## 568 8 3 52 2 potato 3.2
## 569 8 3 63 1 potato 7.8
## 570 8 3 63 2 potato 8.6
## 571 8 3 78 1 potato 0.8
## 572 8 3 78 2 potato 3.2
## 573 8 3 79 1 potato 6.8
## 574 8 3 79 2 potato 5.7
## 575 8 3 86 1 potato 1.4
## 576 8 3 86 2 potato 1.4
## 577 9 1 3 1 potato 1.1
## 578 9 1 3 2 potato 2.5
## 579 9 1 10 1 potato 10.5
## 580 9 1 10 2 potato 11.2
## 581 9 1 15 1 potato 0.2
## 582 9 1 15 2 potato 1.7
## 583 9 1 16 1 potato 5.4
## 584 9 1 16 2 potato 8.5
## 585 9 1 19 1 potato 9.6
## 586 9 1 19 2 potato 9.0
## 587 9 1 51 1 potato 10.2
## 588 9 1 51 2 potato 12.7
## 589 9 1 52 1 potato 5.1
## 590 9 1 52 2 potato 3.0
## 591 9 1 63 1 potato 1.7
## 592 9 1 63 2 potato 5.3
## 593 9 1 78 1 potato 3.5
## 594 9 1 78 2 potato 1.0
## 595 9 1 79 1 potato 10.1
## 596 9 1 79 2 potato 9.1
## 597 9 2 3 1 potato 2.7
## 598 9 2 3 2 potato 1.8
## 599 9 2 10 1 potato 10.4
## 600 9 2 10 2 potato 11.0
## 601 9 2 15 1 potato 0.2
## 602 9 2 15 2 potato 0.0
## 603 9 2 16 1 potato 8.5
## 604 9 2 16 2 potato 3.8
## 605 9 2 19 1 potato 11.1
## 606 9 2 19 2 potato 6.2
## 607 9 2 51 1 potato 7.3
## 608 9 2 51 2 potato 10.6
## 609 9 2 52 1 potato 1.8
## 610 9 2 52 2 potato 1.6
## 611 9 2 63 1 potato 1.8
## 612 9 2 63 2 potato 9.1
## 613 9 2 78 1 potato 2.0
## 614 9 2 78 2 potato 3.4
## 615 9 2 79 1 potato 6.7
## 616 9 2 79 2 potato 9.4
## 617 9 3 3 1 potato 1.6
## 618 9 3 3 2 potato 0.7
## 619 9 3 10 1 potato 10.2
## 620 9 3 10 2 potato 7.3
## 621 9 3 15 1 potato 0.7
## 622 9 3 15 2 potato 1.5
## 623 9 3 16 1 potato 7.5
## 624 9 3 16 2 potato 3.6
## 625 9 3 19 1 potato 7.9
## 626 9 3 19 2 potato 9.1
## 627 9 3 51 1 potato 8.2
## 628 9 3 51 2 potato 8.9
## 629 9 3 52 1 potato 1.1
## 630 9 3 52 2 potato 4.0
## 631 9 3 63 1 potato 7.5
## 632 9 3 63 2 potato 6.0
## 633 9 3 78 1 potato 7.9
## 634 9 3 78 2 potato 0.0
## 635 9 3 79 1 potato 7.8
## 636 9 3 79 2 potato 8.1
## 637 10 1 10 1 potato 10.6
## 638 10 1 10 2 potato 12.1
## 639 10 1 15 1 potato 0.1
## 640 10 1 15 2 potato 1.7
## 641 10 1 16 1 potato 3.0
## 642 10 1 16 2 potato 3.8
## 643 10 1 19 1 potato 11.4
## 644 10 1 19 2 potato 11.8
## 645 10 1 31 1 potato 9.5
## 646 10 1 31 2 potato 5.3
## 647 10 1 51 1 potato 7.6
## 648 10 1 51 2 potato 12.3
## 649 10 1 52 1 potato 0.4
## 650 10 1 52 2 potato 0.0
## 651 10 1 63 1 potato 6.5
## 652 10 1 63 2 potato 6.2
## 653 10 1 78 1 potato 1.2
## 654 10 1 78 2 potato 4.4
## 655 10 1 86 1 potato 0.7
## 656 10 1 86 2 potato 0.7
## 657 10 2 10 1 potato 10.7
## 658 10 2 10 2 potato 10.5
## 659 10 2 15 1 potato 4.8
## 660 10 2 15 2 potato 1.1
## 661 10 2 16 1 potato 4.2
## 662 10 2 16 2 potato 2.9
## 663 10 2 19 1 potato 7.0
## 664 10 2 19 2 potato 10.9
## 665 10 2 31 1 potato 4.6
## 666 10 2 31 2 potato 2.3
## 667 10 2 51 1 potato 11.3
## 668 10 2 51 2 potato 9.9
## 669 10 2 52 1 potato 0.3
## 670 10 2 52 2 potato 3.8
## 671 10 2 63 1 potato 8.6
## 672 10 2 63 2 potato 9.0
## 673 10 2 78 1 potato 5.2
## 674 10 2 78 2 potato 1.5
## 675 10 2 86 1 potato 2.0
## 676 10 2 86 2 potato 1.0
## 677 10 3 10 1 potato 11.3
## 678 10 3 10 2 potato 10.0
## 679 10 3 15 1 potato 2.5
## 680 10 3 15 2 potato 4.3
## 681 10 3 16 1 potato 3.9
## 682 10 3 16 2 potato 2.5
## 683 10 3 19 1 potato 9.1
## 684 10 3 19 2 potato 12.2
## 685 10 3 31 1 potato 6.5
## 686 10 3 31 2 potato 10.4
## 687 10 3 51 1 potato 8.0
## 688 10 3 51 2 potato 11.6
## 689 10 3 52 1 potato 1.2
## 690 10 3 52 2 potato 1.8
## 691 10 3 63 1 potato 7.0
## 692 10 3 63 2 potato 7.0
## 693 10 3 78 1 potato 3.7
## 694 10 3 78 2 potato 3.3
## 695 10 3 86 1 potato 2.5
## 696 10 3 86 2 potato 2.5
## 697 1 1 3 1 buttery 0.0
## 698 1 1 3 2 buttery 0.0
## 699 1 1 10 1 buttery 6.4
## 700 1 1 10 2 buttery 5.9
## 701 1 1 15 1 buttery 0.1
## 702 1 1 15 2 buttery 3.0
## 703 1 1 16 1 buttery 2.6
## 704 1 1 16 2 buttery 4.4
## 705 1 1 19 1 buttery 3.2
## 706 1 1 19 2 buttery 0.0
## 707 1 1 31 1 buttery 0.0
## 708 1 1 31 2 buttery 2.5
## 709 1 1 51 1 buttery 1.7
## 710 1 1 51 2 buttery 4.2
## 711 1 1 52 1 buttery 0.0
## 712 1 1 52 2 buttery 3.1
## 713 1 1 63 1 buttery 0.0
## 714 1 1 63 2 buttery 0.0
## 715 1 1 78 1 buttery 1.2
## 716 1 1 78 2 buttery 0.6
## 717 1 1 79 1 buttery 0.0
## 718 1 1 79 2 buttery 0.4
## 719 1 1 86 1 buttery 1.2
## 720 1 1 86 2 buttery 2.6
## 721 1 2 3 1 buttery 0.0
## 722 1 2 3 2 buttery 0.1
## 723 1 2 10 1 buttery 5.2
## 724 1 2 10 2 buttery 10.1
## 725 1 2 15 1 buttery 3.6
## 726 1 2 15 2 buttery 2.7
## 727 1 2 16 1 buttery 3.5
## 728 1 2 16 2 buttery 0.6
## 729 1 2 19 1 buttery 2.5
## 730 1 2 19 2 buttery 1.1
## 731 1 2 31 1 buttery 0.7
## 732 1 2 31 2 buttery 3.2
## 733 1 2 51 1 buttery 4.1
## 734 1 2 51 2 buttery 1.8
## 735 1 2 52 1 buttery 4.4
## 736 1 2 52 2 buttery 1.1
## 737 1 2 63 1 buttery 0.3
## 738 1 2 63 2 buttery 0.0
## 739 1 2 78 1 buttery 0.7
## 740 1 2 78 2 buttery 0.1
## 741 1 2 79 1 buttery 0.8
## 742 1 2 79 2 buttery 4.5
## 743 1 2 86 1 buttery 4.4
## 744 1 2 86 2 buttery 4.3
## 745 1 3 3 1 buttery 0.0
## 746 1 3 3 2 buttery 0.0
## 747 1 3 10 1 buttery 10.2
## 748 1 3 10 2 buttery 5.0
## 749 1 3 15 1 buttery 1.0
## 750 1 3 15 2 buttery 3.6
## 751 1 3 16 1 buttery 0.2
## 752 1 3 16 2 buttery 1.1
## 753 1 3 19 1 buttery 3.4
## 754 1 3 19 2 buttery 2.8
## 755 1 3 31 1 buttery 0.7
## 756 1 3 31 2 buttery 3.7
## 757 1 3 51 1 buttery 1.4
## 758 1 3 51 2 buttery 4.7
## 759 1 3 52 1 buttery 2.0
## 760 1 3 52 2 buttery 4.7
## 761 1 3 63 1 buttery 0.4
## 762 1 3 63 2 buttery 0.0
## 763 1 3 78 1 buttery 1.6
## 764 1 3 78 2 buttery 0.1
## 765 1 3 79 1 buttery 0.0
## 766 1 3 79 2 buttery 0.0
## 767 1 3 86 1 buttery 4.5
## 768 1 3 86 2 buttery 7.0
## 769 2 1 3 1 buttery 0.3
## 770 2 1 3 2 buttery 0.5
## 771 2 1 10 1 buttery 3.1
## 772 2 1 10 2 buttery 8.4
## 773 2 1 15 1 buttery 1.4
## 774 2 1 15 2 buttery 2.3
## 775 2 1 16 1 buttery 5.1
## 776 2 1 16 2 buttery 3.8
## 777 2 1 19 1 buttery 0.0
## 778 2 1 19 2 buttery 7.5
## 779 2 1 31 1 buttery 3.3
## 780 2 1 31 2 buttery 0.0
## 781 2 1 51 1 buttery 6.7
## 782 2 1 51 2 buttery 1.9
## 783 2 1 52 1 buttery 1.6
## 784 2 1 52 2 buttery 1.0
## 785 2 1 63 1 buttery 0.0
## 786 2 1 63 2 buttery 0.0
## 787 2 1 78 1 buttery 0.0
## 788 2 1 78 2 buttery 1.7
## 789 2 1 79 1 buttery 0.0
## 790 2 1 79 2 buttery 0.0
## 791 2 1 86 1 buttery 6.0
## 792 2 1 86 2 buttery 6.0
## 793 2 2 3 1 buttery 0.9
## 794 2 2 3 2 buttery 0.7
## 795 2 2 10 1 buttery 7.6
## 796 2 2 10 2 buttery 6.8
## 797 2 2 15 1 buttery 5.6
## 798 2 2 15 2 buttery 2.7
## 799 2 2 16 1 buttery 4.8
## 800 2 2 16 2 buttery 0.7
## 801 2 2 19 1 buttery 10.0
## 802 2 2 19 2 buttery 3.7
## 803 2 2 31 1 buttery 1.4
## 804 2 2 31 2 buttery 0.4
## 805 2 2 51 1 buttery 3.4
## 806 2 2 51 2 buttery 4.6
## 807 2 2 52 1 buttery 3.6
## 808 2 2 52 2 buttery 3.5
## 809 2 2 63 1 buttery 0.0
## 810 2 2 63 2 buttery 0.0
## 811 2 2 78 1 buttery 0.0
## 812 2 2 78 2 buttery 0.0
## 813 2 2 79 1 buttery 3.2
## 814 2 2 79 2 buttery 1.1
## 815 2 2 86 1 buttery 7.9
## 816 2 2 86 2 buttery 2.4
## 817 2 3 3 1 buttery 0.6
## 818 2 3 3 2 buttery 0.8
## 819 2 3 10 1 buttery 5.7
## 820 2 3 10 2 buttery 4.4
## 821 2 3 15 1 buttery 3.6
## 822 2 3 15 2 buttery 3.2
## 823 2 3 16 1 buttery 7.3
## 824 2 3 16 2 buttery 2.4
## 825 2 3 19 1 buttery 3.6
## 826 2 3 19 2 buttery 3.0
## 827 2 3 31 1 buttery 0.4
## 828 2 3 31 2 buttery 0.5
## 829 2 3 51 1 buttery 4.7
## 830 2 3 51 2 buttery 5.2
## 831 2 3 52 1 buttery 2.8
## 832 2 3 52 2 buttery 1.9
## 833 2 3 63 1 buttery 0.0
## 834 2 3 63 2 buttery 0.0
## 835 2 3 78 1 buttery 1.9
## 836 2 3 78 2 buttery 0.0
## 837 2 3 79 1 buttery 1.1
## 838 2 3 79 2 buttery 0.0
## 839 2 3 86 1 buttery 1.6
## 840 2 3 86 2 buttery 5.7
## 841 3 1 3 1 buttery 0.2
## 842 3 1 3 2 buttery 0.5
## 843 3 1 10 1 buttery 7.0
## 844 3 1 10 2 buttery 6.6
## 845 3 1 15 1 buttery 0.2
## 846 3 1 15 2 buttery 2.7
## 847 3 1 16 1 buttery 0.2
## 848 3 1 16 2 buttery 2.1
## 849 3 1 19 1 buttery 9.6
## 850 3 1 19 2 buttery 6.0
## 851 3 1 31 1 buttery 0.8
## 852 3 1 31 2 buttery 0.0
## 853 3 1 51 1 buttery 1.4
## 854 3 1 51 2 buttery 3.0
## 855 3 1 52 1 buttery 0.7
## 856 3 1 52 2 buttery 2.9
## 857 3 1 63 1 buttery 0.0
## 858 3 1 63 2 buttery 0.0
## 859 3 1 78 1 buttery 1.3
## 860 3 1 78 2 buttery 1.0
## 861 3 1 79 1 buttery 1.4
## 862 3 1 79 2 buttery 0.0
## 863 3 1 86 1 buttery 4.6
## 864 3 1 86 2 buttery 2.9
## 865 3 2 3 1 buttery 0.1
## 866 3 2 3 2 buttery 0.5
## 867 3 2 10 1 buttery 8.2
## 868 3 2 10 2 buttery 7.5
## 869 3 2 15 1 buttery 2.8
## 870 3 2 15 2 buttery 1.8
## 871 3 2 16 1 buttery 0.3
## 872 3 2 16 2 buttery 4.2
## 873 3 2 19 1 buttery 0.0
## 874 3 2 19 2 buttery 1.7
## 875 3 2 31 1 buttery 0.2
## 876 3 2 31 2 buttery 0.4
## 877 3 2 51 1 buttery 4.2
## 878 3 2 51 2 buttery 1.9
## 879 3 2 52 1 buttery 2.7
## 880 3 2 52 2 buttery 1.6
## 881 3 2 63 1 buttery 0.7
## 882 3 2 63 2 buttery 0.0
## 883 3 2 78 1 buttery 2.9
## 884 3 2 78 2 buttery 0.0
## 885 3 2 79 1 buttery 0.0
## 886 3 2 79 2 buttery 0.0
## 887 3 2 86 1 buttery 5.2
## 888 3 2 86 2 buttery 3.0
## 889 3 3 3 1 buttery 0.2
## 890 3 3 3 2 buttery 0.5
## 891 3 3 10 1 buttery 8.0
## 892 3 3 10 2 buttery 8.4
## 893 3 3 15 1 buttery 0.7
## 894 3 3 15 2 buttery 1.6
## 895 3 3 16 1 buttery 0.4
## 896 3 3 16 2 buttery 2.1
## 897 3 3 19 1 buttery 4.0
## 898 3 3 19 2 buttery 1.7
## 899 3 3 31 1 buttery 0.5
## 900 3 3 31 2 buttery 0.0
## 901 3 3 51 1 buttery 3.0
## 902 3 3 51 2 buttery 0.0
## 903 3 3 52 1 buttery 0.2
## 904 3 3 52 2 buttery 1.2
## 905 3 3 63 1 buttery 0.0
## 906 3 3 63 2 buttery 0.0
## 907 3 3 78 1 buttery 2.6
## 908 3 3 78 2 buttery 1.1
## 909 3 3 79 1 buttery 2.1
## 910 3 3 79 2 buttery 5.1
## 911 3 3 86 1 buttery 1.5
## 912 3 3 86 2 buttery 1.5
## 913 4 1 3 1 buttery 0.1
## 914 4 1 3 2 buttery 0.0
## 915 4 1 10 1 buttery 4.4
## 916 4 1 10 2 buttery 5.8
## 917 4 1 15 1 buttery 0.6
## 918 4 1 15 2 buttery 0.4
## 919 4 1 16 1 buttery 0.9
## 920 4 1 16 2 buttery 1.3
## 921 4 1 19 1 buttery 4.4
## 922 4 1 19 2 buttery 2.3
## 923 4 1 31 1 buttery 0.8
## 924 4 1 31 2 buttery 0.3
## 925 4 1 51 1 buttery 2.5
## 926 4 1 51 2 buttery 5.4
## 927 4 1 52 1 buttery 3.9
## 928 4 1 52 2 buttery 2.6
## 929 4 1 63 1 buttery 0.0
## 930 4 1 63 2 buttery 0.5
## 931 4 1 78 1 buttery 1.0
## 932 4 1 78 2 buttery 1.1
## 933 4 1 79 1 buttery 1.8
## 934 4 1 79 2 buttery 0.0
## 935 4 1 86 1 buttery 5.8
## 936 4 1 86 2 buttery 1.6
## 937 4 2 3 1 buttery 0.0
## 938 4 2 3 2 buttery 0.0
## 939 4 2 10 1 buttery 5.6
## 940 4 2 10 2 buttery 7.7
## 941 4 2 15 1 buttery 0.6
## 942 4 2 15 2 buttery 1.1
## 943 4 2 16 1 buttery 1.1
## 944 4 2 16 2 buttery 4.9
## 945 4 2 19 1 buttery 6.4
## 946 4 2 19 2 buttery 1.4
## 947 4 2 31 1 buttery 0.0
## 948 4 2 31 2 buttery 0.3
## 949 4 2 51 1 buttery 2.2
## 950 4 2 51 2 buttery 3.1
## 951 4 2 52 1 buttery 0.5
## 952 4 2 52 2 buttery 1.3
## 953 4 2 63 1 buttery 0.0
## 954 4 2 63 2 buttery 0.0
## 955 4 2 78 1 buttery 0.0
## 956 4 2 78 2 buttery 0.0
## 957 4 2 79 1 buttery 0.0
## 958 4 2 79 2 buttery 0.9
## 959 4 2 86 1 buttery 0.9
## 960 4 2 86 2 buttery 0.6
## 961 4 3 3 1 buttery 0.5
## 962 4 3 3 2 buttery 0.2
## 963 4 3 10 1 buttery 8.4
## 964 4 3 10 2 buttery 7.1
## 965 4 3 15 1 buttery 0.4
## 966 4 3 15 2 buttery 0.3
## 967 4 3 16 1 buttery 5.4
## 968 4 3 16 2 buttery 4.4
## 969 4 3 19 1 buttery 1.6
## 970 4 3 19 2 buttery 0.0
## 971 4 3 31 1 buttery 2.8
## 972 4 3 31 2 buttery 0.0
## 973 4 3 51 1 buttery 3.7
## 974 4 3 51 2 buttery 2.1
## 975 4 3 52 1 buttery 1.7
## 976 4 3 52 2 buttery 0.8
## 977 4 3 63 1 buttery 0.0
## 978 4 3 63 2 buttery 0.0
## 979 4 3 78 1 buttery 1.3
## 980 4 3 78 2 buttery 2.9
## 981 4 3 79 1 buttery 0.0
## 982 4 3 79 2 buttery 0.0
## 983 4 3 86 1 buttery 0.0
## 984 4 3 86 2 buttery 0.0
## 985 5 1 3 1 buttery 0.3
## 986 5 1 3 2 buttery 0.8
## 987 5 1 10 1 buttery 8.4
## 988 5 1 10 2 buttery 5.4
## 989 5 1 15 1 buttery 0.3
## 990 5 1 15 2 buttery 0.2
## 991 5 1 16 1 buttery 0.4
## 992 5 1 16 2 buttery 3.9
## 993 5 1 19 1 buttery 0.9
## 994 5 1 19 2 buttery 1.7
## 995 5 1 31 1 buttery 0.0
## 996 5 1 31 2 buttery 0.3
## 997 5 1 51 1 buttery 2.4
## 998 5 1 51 2 buttery 4.7
## 999 5 1 52 1 buttery 0.0
## 1000 5 1 52 2 buttery 0.0
## 1001 5 1 63 1 buttery 0.0
## 1002 5 1 63 2 buttery 0.0
## 1003 5 1 78 1 buttery 1.1
## 1004 5 1 78 2 buttery 1.2
## 1005 5 1 79 1 buttery 0.8
## 1006 5 1 79 2 buttery 0.0
## 1007 5 1 86 1 buttery 0.0
## 1008 5 1 86 2 buttery 0.0
## 1009 5 2 3 1 buttery 0.0
## 1010 5 2 3 2 buttery 1.7
## 1011 5 2 10 1 buttery 7.5
## 1012 5 2 10 2 buttery 2.8
## 1013 5 2 15 1 buttery 0.2
## 1014 5 2 15 2 buttery 0.3
## 1015 5 2 16 1 buttery 5.0
## 1016 5 2 16 2 buttery 6.8
## 1017 5 2 19 1 buttery 5.0
## 1018 5 2 19 2 buttery 4.7
## 1019 5 2 31 1 buttery 0.0
## 1020 5 2 31 2 buttery 0.0
## 1021 5 2 51 1 buttery 2.9
## 1022 5 2 51 2 buttery 4.7
## 1023 5 2 52 1 buttery 0.0
## 1024 5 2 52 2 buttery 0.0
## 1025 5 2 63 1 buttery 0.0
## 1026 5 2 63 2 buttery 0.0
## 1027 5 2 78 1 buttery 0.0
## 1028 5 2 78 2 buttery 0.0
## 1029 5 2 79 1 buttery 0.0
## 1030 5 2 79 2 buttery 0.5
## 1031 5 2 86 1 buttery 1.5
## 1032 5 2 86 2 buttery 1.0
## 1033 5 3 3 1 buttery 0.0
## 1034 5 3 3 2 buttery 4.3
## 1035 5 3 10 1 buttery 8.8
## 1036 5 3 10 2 buttery 4.3
## 1037 5 3 15 1 buttery NA
## 1038 5 3 15 2 buttery 0.2
## 1039 5 3 16 1 buttery 1.0
## 1040 5 3 16 2 buttery 2.0
## 1041 5 3 19 1 buttery 2.9
## 1042 5 3 19 2 buttery 0.0
## 1043 5 3 31 1 buttery 2.7
## 1044 5 3 31 2 buttery 0.0
## 1045 5 3 51 1 buttery 4.4
## 1046 5 3 51 2 buttery 2.3
## 1047 5 3 52 1 buttery 0.1
## 1048 5 3 52 2 buttery 0.0
## 1049 5 3 63 1 buttery 0.0
## 1050 5 3 63 2 buttery 0.0
## 1051 5 3 78 1 buttery 0.8
## 1052 5 3 78 2 buttery 0.8
## 1053 5 3 79 1 buttery 0.0
## 1054 5 3 79 2 buttery 0.5
## 1055 5 3 86 1 buttery 4.0
## 1056 5 3 86 2 buttery 0.1
## 1057 6 1 3 1 buttery 1.2
## 1058 6 1 3 2 buttery 1.1
## 1059 6 1 10 1 buttery 11.2
## 1060 6 1 10 2 buttery 7.6
## 1061 6 1 15 1 buttery 0.3
## 1062 6 1 15 2 buttery 0.2
## 1063 6 1 16 1 buttery 0.3
## 1064 6 1 16 2 buttery 4.2
## 1065 6 1 19 1 buttery 9.5
## 1066 6 1 19 2 buttery 0.0
## 1067 6 1 31 1 buttery 0.0
## 1068 6 1 31 2 buttery 0.0
## 1069 6 1 51 1 buttery 4.7
## 1070 6 1 51 2 buttery 2.5
## 1071 6 1 52 1 buttery 0.0
## 1072 6 1 52 2 buttery 0.0
## 1073 6 1 63 1 buttery 0.0
## 1074 6 1 63 2 buttery 0.0
## 1075 6 1 78 1 buttery 0.0
## 1076 6 1 78 2 buttery 0.6
## 1077 6 1 79 1 buttery 0.4
## 1078 6 1 79 2 buttery 0.0
## 1079 6 1 86 1 buttery 0.0
## 1080 6 1 86 2 buttery 0.0
## 1081 6 2 3 1 buttery 0.7
## 1082 6 2 3 2 buttery 1.9
## 1083 6 2 10 1 buttery 7.7
## 1084 6 2 10 2 buttery 6.8
## 1085 6 2 15 1 buttery 0.3
## 1086 6 2 15 2 buttery 1.5
## 1087 6 2 16 1 buttery 2.7
## 1088 6 2 16 2 buttery 4.3
## 1089 6 2 19 1 buttery 0.0
## 1090 6 2 19 2 buttery 1.5
## 1091 6 2 31 1 buttery 0.8
## 1092 6 2 31 2 buttery 1.6
## 1093 6 2 51 1 buttery 3.1
## 1094 6 2 51 2 buttery 8.2
## 1095 6 2 52 1 buttery 0.8
## 1096 6 2 52 2 buttery 0.7
## 1097 6 2 63 1 buttery 0.0
## 1098 6 2 63 2 buttery 0.0
## 1099 6 2 78 1 buttery 0.0
## 1100 6 2 78 2 buttery 0.0
## 1101 6 2 79 1 buttery 0.0
## 1102 6 2 79 2 buttery 0.8
## 1103 6 2 86 1 buttery 5.3
## 1104 6 2 86 2 buttery 0.6
## 1105 6 3 3 1 buttery 1.0
## 1106 6 3 3 2 buttery 2.2
## 1107 6 3 10 1 buttery 5.4
## 1108 6 3 10 2 buttery 5.5
## 1109 6 3 15 1 buttery 0.1
## 1110 6 3 15 2 buttery 0.2
## 1111 6 3 16 1 buttery 0.8
## 1112 6 3 16 2 buttery 5.1
## 1113 6 3 19 1 buttery 1.0
## 1114 6 3 19 2 buttery 3.6
## 1115 6 3 31 1 buttery 0.0
## 1116 6 3 31 2 buttery 0.0
## 1117 6 3 51 1 buttery 4.5
## 1118 6 3 51 2 buttery 2.5
## 1119 6 3 52 1 buttery 0.0
## 1120 6 3 52 2 buttery 0.0
## 1121 6 3 63 1 buttery 0.0
## 1122 6 3 63 2 buttery 0.0
## 1123 6 3 78 1 buttery 0.0
## 1124 6 3 78 2 buttery 0.0
## 1125 6 3 79 1 buttery 0.0
## 1126 6 3 79 2 buttery 0.0
## 1127 6 3 86 1 buttery 1.2
## 1128 6 3 86 2 buttery 0.0
## 1129 7 1 3 1 buttery 0.0
## 1130 7 1 3 2 buttery 0.0
## 1131 7 1 10 1 buttery 6.4
## 1132 7 1 10 2 buttery 3.7
## 1133 7 1 15 1 buttery 0.1
## 1134 7 1 15 2 buttery 0.0
## 1135 7 1 16 1 buttery 2.6
## 1136 7 1 16 2 buttery 5.7
## 1137 7 1 19 1 buttery 3.2
## 1138 7 1 19 2 buttery 1.5
## 1139 7 1 31 1 buttery 0.0
## 1140 7 1 31 2 buttery 0.0
## 1141 7 1 51 1 buttery 1.7
## 1142 7 1 51 2 buttery 1.4
## 1143 7 1 52 1 buttery 0.0
## 1144 7 1 52 2 buttery 0.1
## 1145 7 1 63 1 buttery 0.0
## 1146 7 1 63 2 buttery 0.0
## 1147 7 1 78 1 buttery 1.2
## 1148 7 1 78 2 buttery 1.0
## 1149 7 1 79 1 buttery 0.0
## 1150 7 1 79 2 buttery 0.0
## 1151 7 1 86 1 buttery 1.2
## 1152 7 1 86 2 buttery 0.0
## 1153 7 2 3 1 buttery 0.6
## 1154 7 2 3 2 buttery 1.2
## 1155 7 2 10 1 buttery 9.0
## 1156 7 2 10 2 buttery 4.4
## 1157 7 2 15 1 buttery 0.1
## 1158 7 2 15 2 buttery 0.0
## 1159 7 2 16 1 buttery 1.6
## 1160 7 2 16 2 buttery 5.6
## 1161 7 2 19 1 buttery 0.0
## 1162 7 2 19 2 buttery 0.0
## 1163 7 2 31 1 buttery 0.0
## 1164 7 2 31 2 buttery 0.0
## 1165 7 2 51 1 buttery 2.5
## 1166 7 2 51 2 buttery 4.4
## 1167 7 2 52 1 buttery 0.3
## 1168 7 2 52 2 buttery 0.0
## 1169 7 2 63 1 buttery 0.5
## 1170 7 2 63 2 buttery 0.0
## 1171 7 2 78 1 buttery 0.0
## 1172 7 2 78 2 buttery 1.0
## 1173 7 2 79 1 buttery NA
## 1174 7 2 79 2 buttery 0.0
## 1175 7 2 86 1 buttery 0.0
## 1176 7 2 86 2 buttery 0.0
## 1177 7 3 3 1 buttery 0.7
## 1178 7 3 3 2 buttery 0.9
## 1179 7 3 10 1 buttery 2.7
## 1180 7 3 10 2 buttery 8.1
## 1181 7 3 15 1 buttery 0.0
## 1182 7 3 15 2 buttery 0.1
## 1183 7 3 16 1 buttery 5.1
## 1184 7 3 16 2 buttery 7.5
## 1185 7 3 19 1 buttery 0.0
## 1186 7 3 19 2 buttery 0.0
## 1187 7 3 31 1 buttery 0.0
## 1188 7 3 31 2 buttery 0.4
## 1189 7 3 51 1 buttery 2.2
## 1190 7 3 51 2 buttery 4.6
## 1191 7 3 52 1 buttery 0.3
## 1192 7 3 52 2 buttery 0.8
## 1193 7 3 63 1 buttery 0.0
## 1194 7 3 63 2 buttery 0.5
## 1195 7 3 78 1 buttery 0.0
## 1196 7 3 78 2 buttery 0.0
## 1197 7 3 79 1 buttery 0.0
## 1198 7 3 79 2 buttery 0.0
## 1199 7 3 86 1 buttery 2.3
## 1200 7 3 86 2 buttery 0.0
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## 1202 8 1 3 2 buttery 0.3
## 1203 8 1 10 1 buttery 8.2
## 1204 8 1 10 2 buttery 4.0
## 1205 8 1 15 1 buttery 1.9
## 1206 8 1 15 2 buttery 0.0
## 1207 8 1 16 1 buttery 1.0
## 1208 8 1 16 2 buttery 0.3
## 1209 8 1 19 1 buttery 3.5
## 1210 8 1 19 2 buttery 0.0
## 1211 8 1 31 1 buttery 0.0
## 1212 8 1 31 2 buttery 0.0
## 1213 8 1 51 1 buttery 0.8
## 1214 8 1 51 2 buttery 1.3
## 1215 8 1 52 1 buttery 0.0
## 1216 8 1 52 2 buttery 0.0
## 1217 8 1 63 1 buttery 0.0
## 1218 8 1 63 2 buttery 0.0
## 1219 8 1 78 1 buttery 0.0
## 1220 8 1 78 2 buttery 0.9
## 1221 8 1 79 1 buttery NA
## 1222 8 1 79 2 buttery 0.0
## 1223 8 1 86 1 buttery 0.0
## 1224 8 1 86 2 buttery 0.0
## 1225 8 2 3 1 buttery 0.3
## 1226 8 2 3 2 buttery 0.3
## 1227 8 2 10 1 buttery 4.6
## 1228 8 2 10 2 buttery 9.3
## 1229 8 2 15 1 buttery 0.1
## 1230 8 2 15 2 buttery 0.0
## 1231 8 2 16 1 buttery NA
## 1232 8 2 16 2 buttery 3.5
## 1233 8 2 19 1 buttery 2.2
## 1234 8 2 19 2 buttery 5.2
## 1235 8 2 31 1 buttery 1.1
## 1236 8 2 31 2 buttery 1.0
## 1237 8 2 51 1 buttery 1.4
## 1238 8 2 51 2 buttery 6.2
## 1239 8 2 52 1 buttery 0.0
## 1240 8 2 52 2 buttery 0.0
## 1241 8 2 63 1 buttery 0.0
## 1242 8 2 63 2 buttery 0.0
## 1243 8 2 78 1 buttery 0.0
## 1244 8 2 78 2 buttery 1.2
## 1245 8 2 79 1 buttery 0.0
## 1246 8 2 79 2 buttery 0.0
## 1247 8 2 86 1 buttery 0.0
## 1248 8 2 86 2 buttery 0.0
## 1249 8 3 3 1 buttery 0.6
## 1250 8 3 3 2 buttery 0.5
## 1251 8 3 10 1 buttery 6.0
## 1252 8 3 10 2 buttery 4.5
## 1253 8 3 15 1 buttery 0.0
## 1254 8 3 15 2 buttery 0.1
## 1255 8 3 16 1 buttery 0.9
## 1256 8 3 16 2 buttery 1.2
## 1257 8 3 19 1 buttery 2.9
## 1258 8 3 19 2 buttery 0.0
## 1259 8 3 31 1 buttery 0.0
## 1260 8 3 31 2 buttery 0.0
## 1261 8 3 51 1 buttery 5.5
## 1262 8 3 51 2 buttery 1.1
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## 1266 8 3 63 2 buttery 0.4
## 1267 8 3 78 1 buttery 0.0
## 1268 8 3 78 2 buttery 0.0
## 1269 8 3 79 1 buttery 0.0
## 1270 8 3 79 2 buttery 0.0
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## 1274 9 1 3 2 buttery 0.5
## 1275 9 1 10 1 buttery 8.5
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## 1277 9 1 15 1 buttery 0.1
## 1278 9 1 15 2 buttery 0.4
## 1279 9 1 16 1 buttery 6.7
## 1280 9 1 16 2 buttery 4.9
## 1281 9 1 19 1 buttery 0.0
## 1282 9 1 19 2 buttery 3.0
## 1283 9 1 51 1 buttery 0.0
## 1284 9 1 51 2 buttery 3.5
## 1285 9 1 52 1 buttery 0.2
## 1286 9 1 52 2 buttery 0.0
## 1287 9 1 63 1 buttery 0.0
## 1288 9 1 63 2 buttery 0.0
## 1289 9 1 78 1 buttery 0.0
## 1290 9 1 78 2 buttery 0.0
## 1291 9 1 79 1 buttery 0.0
## 1292 9 1 79 2 buttery 0.0
## 1293 9 2 3 1 buttery 0.2
## 1294 9 2 3 2 buttery 1.4
## 1295 9 2 10 1 buttery 6.7
## 1296 9 2 10 2 buttery 8.8
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## 1298 9 2 15 2 buttery 1.3
## 1299 9 2 16 1 buttery 2.8
## 1300 9 2 16 2 buttery 2.2
## 1301 9 2 19 1 buttery 3.6
## 1302 9 2 19 2 buttery 0.0
## 1303 9 2 51 1 buttery 2.3
## 1304 9 2 51 2 buttery 3.9
## 1305 9 2 52 1 buttery 0.0
## 1306 9 2 52 2 buttery 0.0
## 1307 9 2 63 1 buttery 0.0
## 1308 9 2 63 2 buttery 0.0
## 1309 9 2 78 1 buttery 0.0
## 1310 9 2 78 2 buttery 0.0
## 1311 9 2 79 1 buttery 0.0
## 1312 9 2 79 2 buttery 0.0
## 1313 9 3 3 1 buttery 0.5
## 1314 9 3 3 2 buttery 0.3
## 1315 9 3 10 1 buttery 8.5
## 1316 9 3 10 2 buttery 3.4
## 1317 9 3 15 1 buttery 0.0
## 1318 9 3 15 2 buttery 0.0
## 1319 9 3 16 1 buttery 2.6
## 1320 9 3 16 2 buttery 2.4
## 1321 9 3 19 1 buttery 0.0
## 1322 9 3 19 2 buttery 0.0
## 1323 9 3 51 1 buttery 0.4
## 1324 9 3 51 2 buttery 4.7
## 1325 9 3 52 1 buttery 0.0
## 1326 9 3 52 2 buttery 0.0
## 1327 9 3 63 1 buttery 0.0
## 1328 9 3 63 2 buttery 0.0
## 1329 9 3 78 1 buttery 1.0
## 1330 9 3 78 2 buttery 0.0
## 1331 9 3 79 1 buttery 0.0
## 1332 9 3 79 2 buttery 1.5
## 1333 10 1 10 1 buttery 7.1
## 1334 10 1 10 2 buttery 8.5
## 1335 10 1 15 1 buttery 0.1
## 1336 10 1 15 2 buttery 0.1
## 1337 10 1 16 1 buttery 7.0
## 1338 10 1 16 2 buttery 7.8
## 1339 10 1 19 1 buttery 1.6
## 1340 10 1 19 2 buttery 3.2
## 1341 10 1 31 1 buttery 0.0
## 1342 10 1 31 2 buttery 0.0
## 1343 10 1 51 1 buttery 2.2
## 1344 10 1 51 2 buttery 0.8
## 1345 10 1 52 1 buttery 0.0
## 1346 10 1 52 2 buttery 0.0
## 1347 10 1 63 1 buttery 0.0
## 1348 10 1 63 2 buttery 0.0
## 1349 10 1 78 1 buttery 0.8
## 1350 10 1 78 2 buttery 0.0
## 1351 10 1 86 1 buttery 0.0
## 1352 10 1 86 2 buttery 0.0
## 1353 10 2 10 1 buttery 6.8
## 1354 10 2 10 2 buttery 6.5
## 1355 10 2 15 1 buttery 1.4
## 1356 10 2 15 2 buttery 0.1
## 1357 10 2 16 1 buttery 6.0
## 1358 10 2 16 2 buttery 3.5
## 1359 10 2 19 1 buttery 0.0
## 1360 10 2 19 2 buttery 0.0
## 1361 10 2 31 1 buttery 0.0
## 1362 10 2 31 2 buttery 0.0
## 1363 10 2 51 1 buttery 5.3
## 1364 10 2 51 2 buttery 5.7
## 1365 10 2 52 1 buttery 0.0
## 1366 10 2 52 2 buttery 0.0
## 1367 10 2 63 1 buttery 0.6
## 1368 10 2 63 2 buttery 0.0
## 1369 10 2 78 1 buttery 0.0
## 1370 10 2 78 2 buttery 0.0
## 1371 10 2 86 1 buttery 0.0
## 1372 10 2 86 2 buttery 0.0
## 1373 10 3 10 1 buttery 9.2
## 1374 10 3 10 2 buttery 5.4
## 1375 10 3 15 1 buttery 0.4
## 1376 10 3 15 2 buttery 3.3
## 1377 10 3 16 1 buttery 1.4
## 1378 10 3 16 2 buttery 0.7
## 1379 10 3 19 1 buttery 4.0
## 1380 10 3 19 2 buttery 0.0
## 1381 10 3 31 1 buttery 0.0
## 1382 10 3 31 2 buttery 0.0
## 1383 10 3 51 1 buttery 3.2
## 1384 10 3 51 2 buttery 2.4
## 1385 10 3 52 1 buttery 0.8
## 1386 10 3 52 2 buttery 0.0
## 1387 10 3 63 1 buttery 0.0
## 1388 10 3 63 2 buttery 0.0
## 1389 10 3 78 1 buttery 0.0
## 1390 10 3 78 2 buttery 0.0
## 1391 10 3 86 1 buttery 0.0
## 1392 10 3 86 2 buttery 0.0
## 1393 1 1 3 1 grassy 0.0
## 1394 1 1 3 2 grassy 0.0
## 1395 1 1 10 1 grassy 0.0
## 1396 1 1 10 2 grassy 2.9
## 1397 1 1 15 1 grassy 0.0
## 1398 1 1 15 2 grassy 3.6
## 1399 1 1 16 1 grassy 0.4
## 1400 1 1 16 2 grassy 0.3
## 1401 1 1 19 1 grassy 0.0
## 1402 1 1 19 2 grassy 3.1
## 1403 1 1 31 1 grassy 0.0
## 1404 1 1 31 2 grassy 0.0
## 1405 1 1 51 1 grassy 0.1
## 1406 1 1 51 2 grassy 3.6
## 1407 1 1 52 1 grassy 1.7
## 1408 1 1 52 2 grassy 0.3
## 1409 1 1 63 1 grassy 0.0
## 1410 1 1 63 2 grassy 0.0
## 1411 1 1 78 1 grassy 0.0
## 1412 1 1 78 2 grassy 3.0
## 1413 1 1 79 1 grassy 0.0
## 1414 1 1 79 2 grassy 0.0
## 1415 1 1 86 1 grassy 0.0
## 1416 1 1 86 2 grassy 2.7
## 1417 1 2 3 1 grassy 0.0
## 1418 1 2 3 2 grassy 0.0
## 1419 1 2 10 1 grassy 3.3
## 1420 1 2 10 2 grassy 2.5
## 1421 1 2 15 1 grassy 0.3
## 1422 1 2 15 2 grassy 2.7
## 1423 1 2 16 1 grassy 0.8
## 1424 1 2 16 2 grassy 0.2
## 1425 1 2 19 1 grassy 1.3
## 1426 1 2 19 2 grassy 0.0
## 1427 1 2 31 1 grassy 0.0
## 1428 1 2 31 2 grassy 0.0
## 1429 1 2 51 1 grassy 4.3
## 1430 1 2 51 2 grassy 2.5
## 1431 1 2 52 1 grassy 0.0
## 1432 1 2 52 2 grassy 0.4
## 1433 1 2 63 1 grassy 0.0
## 1434 1 2 63 2 grassy 0.0
## 1435 1 2 78 1 grassy 1.2
## 1436 1 2 78 2 grassy 3.8
## 1437 1 2 79 1 grassy 0.6
## 1438 1 2 79 2 grassy 0.0
## 1439 1 2 86 1 grassy 0.0
## 1440 1 2 86 2 grassy 0.0
## 1441 1 3 3 1 grassy 0.0
## 1442 1 3 3 2 grassy 0.6
## 1443 1 3 10 1 grassy 0.0
## 1444 1 3 10 2 grassy 0.8
## 1445 1 3 15 1 grassy 0.5
## 1446 1 3 15 2 grassy 0.5
## 1447 1 3 16 1 grassy 0.6
## 1448 1 3 16 2 grassy 0.5
## 1449 1 3 19 1 grassy 5.2
## 1450 1 3 19 2 grassy 0.0
## 1451 1 3 31 1 grassy 0.3
## 1452 1 3 31 2 grassy 0.0
## 1453 1 3 51 1 grassy 0.0
## 1454 1 3 51 2 grassy 2.0
## 1455 1 3 52 1 grassy 0.0
## 1456 1 3 52 2 grassy 0.0
## 1457 1 3 63 1 grassy 1.9
## 1458 1 3 63 2 grassy 0.0
## 1459 1 3 78 1 grassy 0.0
## 1460 1 3 78 2 grassy 3.7
## 1461 1 3 79 1 grassy 1.6
## 1462 1 3 79 2 grassy 0.0
## 1463 1 3 86 1 grassy 1.5
## 1464 1 3 86 2 grassy 2.5
## 1465 2 1 3 1 grassy 0.1
## 1466 2 1 3 2 grassy 2.0
## 1467 2 1 10 1 grassy 3.1
## 1468 2 1 10 2 grassy 0.0
## 1469 2 1 15 1 grassy 0.1
## 1470 2 1 15 2 grassy 0.5
## 1471 2 1 16 1 grassy 0.0
## 1472 2 1 16 2 grassy 0.7
## 1473 2 1 19 1 grassy 0.0
## 1474 2 1 19 2 grassy 0.0
## 1475 2 1 31 1 grassy 0.0
## 1476 2 1 31 2 grassy 1.2
## 1477 2 1 51 1 grassy 1.5
## 1478 2 1 51 2 grassy 0.1
## 1479 2 1 52 1 grassy 2.8
## 1480 2 1 52 2 grassy 2.1
## 1481 2 1 63 1 grassy 0.0
## 1482 2 1 63 2 grassy 0.0
## 1483 2 1 78 1 grassy 1.3
## 1484 2 1 78 2 grassy 0.5
## 1485 2 1 79 1 grassy 2.3
## 1486 2 1 79 2 grassy 2.8
## 1487 2 1 86 1 grassy 0.0
## 1488 2 1 86 2 grassy 3.0
## 1489 2 2 3 1 grassy 0.3
## 1490 2 2 3 2 grassy 1.6
## 1491 2 2 10 1 grassy 1.6
## 1492 2 2 10 2 grassy 0.0
## 1493 2 2 15 1 grassy 0.7
## 1494 2 2 15 2 grassy 0.4
## 1495 2 2 16 1 grassy 0.7
## 1496 2 2 16 2 grassy 0.7
## 1497 2 2 19 1 grassy 1.9
## 1498 2 2 19 2 grassy 2.7
## 1499 2 2 31 1 grassy 0.0
## 1500 2 2 31 2 grassy 0.0
## 1501 2 2 51 1 grassy 1.2
## 1502 2 2 51 2 grassy 0.0
## 1503 2 2 52 1 grassy 0.4
## 1504 2 2 52 2 grassy 0.0
## 1505 2 2 63 1 grassy 0.0
## 1506 2 2 63 2 grassy 0.2
## 1507 2 2 78 1 grassy 5.1
## 1508 2 2 78 2 grassy 1.3
## 1509 2 2 79 1 grassy 2.1
## 1510 2 2 79 2 grassy 0.5
## 1511 2 2 86 1 grassy 1.4
## 1512 2 2 86 2 grassy 0.0
## 1513 2 3 3 1 grassy 0.7
## 1514 2 3 3 2 grassy 0.0
## 1515 2 3 10 1 grassy 2.1
## 1516 2 3 10 2 grassy 0.0
## 1517 2 3 15 1 grassy 3.5
## 1518 2 3 15 2 grassy 1.6
## 1519 2 3 16 1 grassy 1.3
## 1520 2 3 16 2 grassy 1.2
## 1521 2 3 19 1 grassy 5.8
## 1522 2 3 19 2 grassy 10.5
## 1523 2 3 31 1 grassy 0.0
## 1524 2 3 31 2 grassy 0.0
## 1525 2 3 51 1 grassy 0.0
## 1526 2 3 51 2 grassy 4.4
## 1527 2 3 52 1 grassy 0.8
## 1528 2 3 52 2 grassy 1.6
## 1529 2 3 63 1 grassy 0.0
## 1530 2 3 63 2 grassy 0.6
## 1531 2 3 78 1 grassy 0.0
## 1532 2 3 78 2 grassy 1.5
## 1533 2 3 79 1 grassy 0.0
## 1534 2 3 79 2 grassy 0.0
## 1535 2 3 86 1 grassy 2.6
## 1536 2 3 86 2 grassy 0.0
## 1537 3 1 3 1 grassy 0.0
## 1538 3 1 3 2 grassy 0.0
## 1539 3 1 10 1 grassy 0.0
## 1540 3 1 10 2 grassy 0.0
## 1541 3 1 15 1 grassy 0.2
## 1542 3 1 15 2 grassy 0.1
## 1543 3 1 16 1 grassy 3.0
## 1544 3 1 16 2 grassy 0.3
## 1545 3 1 19 1 grassy 3.6
## 1546 3 1 19 2 grassy 0.0
## 1547 3 1 31 1 grassy 0.0
## 1548 3 1 31 2 grassy 0.0
## 1549 3 1 51 1 grassy 0.2
## 1550 3 1 51 2 grassy 1.1
## 1551 3 1 52 1 grassy 4.1
## 1552 3 1 52 2 grassy 0.9
## 1553 3 1 63 1 grassy 0.0
## 1554 3 1 63 2 grassy 0.0
## 1555 3 1 78 1 grassy 0.0
## 1556 3 1 78 2 grassy 0.0
## 1557 3 1 79 1 grassy 0.0
## 1558 3 1 79 2 grassy 1.1
## 1559 3 1 86 1 grassy 2.0
## 1560 3 1 86 2 grassy 3.0
## 1561 3 2 3 1 grassy 0.0
## 1562 3 2 3 2 grassy 0.0
## 1563 3 2 10 1 grassy 0.1
## 1564 3 2 10 2 grassy 0.0
## 1565 3 2 15 1 grassy 0.0
## 1566 3 2 15 2 grassy 0.0
## 1567 3 2 16 1 grassy 0.0
## 1568 3 2 16 2 grassy 0.9
## 1569 3 2 19 1 grassy 0.0
## 1570 3 2 19 2 grassy 0.0
## 1571 3 2 31 1 grassy 0.0
## 1572 3 2 31 2 grassy 0.0
## 1573 3 2 51 1 grassy 0.0
## 1574 3 2 51 2 grassy 2.9
## 1575 3 2 52 1 grassy 1.8
## 1576 3 2 52 2 grassy 3.9
## 1577 3 2 63 1 grassy 0.0
## 1578 3 2 63 2 grassy 0.0
## 1579 3 2 78 1 grassy 0.0
## 1580 3 2 78 2 grassy 0.8
## 1581 3 2 79 1 grassy 0.0
## 1582 3 2 79 2 grassy 0.0
## 1583 3 2 86 1 grassy 4.8
## 1584 3 2 86 2 grassy 2.2
## 1585 3 3 3 1 grassy 0.0
## 1586 3 3 3 2 grassy 0.0
## 1587 3 3 10 1 grassy 0.0
## 1588 3 3 10 2 grassy 0.0
## 1589 3 3 15 1 grassy 0.3
## 1590 3 3 15 2 grassy 0.3
## 1591 3 3 16 1 grassy 0.5
## 1592 3 3 16 2 grassy 2.5
## 1593 3 3 19 1 grassy 1.0
## 1594 3 3 19 2 grassy 2.9
## 1595 3 3 31 1 grassy 0.0
## 1596 3 3 31 2 grassy 0.0
## 1597 3 3 51 1 grassy 0.0
## 1598 3 3 51 2 grassy 0.0
## 1599 3 3 52 1 grassy 2.0
## 1600 3 3 52 2 grassy 0.9
## 1601 3 3 63 1 grassy 0.0
## 1602 3 3 63 2 grassy 0.0
## 1603 3 3 78 1 grassy 1.8
## 1604 3 3 78 2 grassy 0.0
## 1605 3 3 79 1 grassy 0.0
## 1606 3 3 79 2 grassy 0.0
## 1607 3 3 86 1 grassy 2.1
## 1608 3 3 86 2 grassy 2.7
## 1609 4 1 3 1 grassy 0.0
## 1610 4 1 3 2 grassy 0.0
## 1611 4 1 10 1 grassy 0.0
## 1612 4 1 10 2 grassy 0.0
## 1613 4 1 15 1 grassy 0.4
## 1614 4 1 15 2 grassy 0.6
## 1615 4 1 16 1 grassy 1.2
## 1616 4 1 16 2 grassy 0.4
## 1617 4 1 19 1 grassy 0.0
## 1618 4 1 19 2 grassy 11.1
## 1619 4 1 31 1 grassy 0.0
## 1620 4 1 31 2 grassy 0.0
## 1621 4 1 51 1 grassy 0.7
## 1622 4 1 51 2 grassy 2.1
## 1623 4 1 52 1 grassy 0.2
## 1624 4 1 52 2 grassy 1.8
## 1625 4 1 63 1 grassy 0.0
## 1626 4 1 63 2 grassy 0.0
## 1627 4 1 78 1 grassy 1.2
## 1628 4 1 78 2 grassy 2.3
## 1629 4 1 79 1 grassy 0.0
## 1630 4 1 79 2 grassy 0.0
## 1631 4 1 86 1 grassy 0.0
## 1632 4 1 86 2 grassy 2.6
## 1633 4 2 3 1 grassy 0.0
## 1634 4 2 3 2 grassy 0.0
## 1635 4 2 10 1 grassy 0.0
## 1636 4 2 10 2 grassy 0.0
## 1637 4 2 15 1 grassy 0.0
## 1638 4 2 15 2 grassy 0.0
## 1639 4 2 16 1 grassy 2.1
## 1640 4 2 16 2 grassy 1.1
## 1641 4 2 19 1 grassy 0.0
## 1642 4 2 19 2 grassy 1.3
## 1643 4 2 31 1 grassy 1.0
## 1644 4 2 31 2 grassy 0.0
## 1645 4 2 51 1 grassy 3.3
## 1646 4 2 51 2 grassy 0.7
## 1647 4 2 52 1 grassy 2.4
## 1648 4 2 52 2 grassy 2.0
## 1649 4 2 63 1 grassy 0.0
## 1650 4 2 63 2 grassy 0.0
## 1651 4 2 78 1 grassy 0.0
## 1652 4 2 78 2 grassy 0.0
## 1653 4 2 79 1 grassy 0.0
## 1654 4 2 79 2 grassy 0.0
## 1655 4 2 86 1 grassy 1.5
## 1656 4 2 86 2 grassy 0.0
## 1657 4 3 3 1 grassy 0.4
## 1658 4 3 3 2 grassy 0.0
## 1659 4 3 10 1 grassy 0.0
## 1660 4 3 10 2 grassy 0.0
## 1661 4 3 15 1 grassy 0.3
## 1662 4 3 15 2 grassy 0.1
## 1663 4 3 16 1 grassy 2.2
## 1664 4 3 16 2 grassy 2.8
## 1665 4 3 19 1 grassy 0.0
## 1666 4 3 19 2 grassy 0.0
## 1667 4 3 31 1 grassy 0.0
## 1668 4 3 31 2 grassy 0.0
## 1669 4 3 51 1 grassy 0.1
## 1670 4 3 51 2 grassy 2.7
## 1671 4 3 52 1 grassy 0.9
## 1672 4 3 52 2 grassy 1.4
## 1673 4 3 63 1 grassy 0.0
## 1674 4 3 63 2 grassy 0.0
## 1675 4 3 78 1 grassy 0.0
## 1676 4 3 78 2 grassy 1.1
## 1677 4 3 79 1 grassy 0.0
## 1678 4 3 79 2 grassy 0.0
## 1679 4 3 86 1 grassy 1.4
## 1680 4 3 86 2 grassy 0.0
## 1681 5 1 3 1 grassy 0.0
## 1682 5 1 3 2 grassy 0.0
## 1683 5 1 10 1 grassy 1.5
## 1684 5 1 10 2 grassy 2.6
## 1685 5 1 15 1 grassy 0.3
## 1686 5 1 15 2 grassy 0.5
## 1687 5 1 16 1 grassy 2.8
## 1688 5 1 16 2 grassy 1.4
## 1689 5 1 19 1 grassy 1.7
## 1690 5 1 19 2 grassy 3.3
## 1691 5 1 31 1 grassy 0.4
## 1692 5 1 31 2 grassy 0.0
## 1693 5 1 51 1 grassy 0.2
## 1694 5 1 51 2 grassy 1.0
## 1695 5 1 52 1 grassy 0.0
## 1696 5 1 52 2 grassy 0.3
## 1697 5 1 63 1 grassy 0.0
## 1698 5 1 63 2 grassy 0.0
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## 1700 5 1 78 2 grassy 0.0
## 1701 5 1 79 1 grassy 0.0
## 1702 5 1 79 2 grassy 0.0
## 1703 5 1 86 1 grassy 0.0
## 1704 5 1 86 2 grassy 1.2
## 1705 5 2 3 1 grassy 0.0
## 1706 5 2 3 2 grassy 0.0
## 1707 5 2 10 1 grassy 0.0
## 1708 5 2 10 2 grassy 0.0
## 1709 5 2 15 1 grassy 0.2
## 1710 5 2 15 2 grassy 0.4
## 1711 5 2 16 1 grassy 0.1
## 1712 5 2 16 2 grassy 0.2
## 1713 5 2 19 1 grassy 0.0
## 1714 5 2 19 2 grassy 0.0
## 1715 5 2 31 1 grassy 0.5
## 1716 5 2 31 2 grassy 0.0
## 1717 5 2 51 1 grassy 0.7
## 1718 5 2 51 2 grassy 2.2
## 1719 5 2 52 1 grassy 7.1
## 1720 5 2 52 2 grassy 0.2
## 1721 5 2 63 1 grassy 0.0
## 1722 5 2 63 2 grassy 0.0
## 1723 5 2 78 1 grassy 0.9
## 1724 5 2 78 2 grassy 0.0
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## 1726 5 2 79 2 grassy 0.0
## 1727 5 2 86 1 grassy 0.0
## 1728 5 2 86 2 grassy 1.5
## 1729 5 3 3 1 grassy 0.0
## 1730 5 3 3 2 grassy 0.0
## 1731 5 3 10 1 grassy 0.0
## 1732 5 3 10 2 grassy 0.0
## 1733 5 3 15 1 grassy NA
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## 1735 5 3 16 1 grassy 0.5
## 1736 5 3 16 2 grassy 0.0
## 1737 5 3 19 1 grassy 0.0
## 1738 5 3 19 2 grassy 4.2
## 1739 5 3 31 1 grassy 0.0
## 1740 5 3 31 2 grassy 0.3
## 1741 5 3 51 1 grassy 2.5
## 1742 5 3 51 2 grassy 2.3
## 1743 5 3 52 1 grassy 0.8
## 1744 5 3 52 2 grassy 0.0
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## 1746 5 3 63 2 grassy 0.0
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## 1748 5 3 78 2 grassy 0.0
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## 1750 5 3 79 2 grassy 0.0
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## 1752 5 3 86 2 grassy 0.0
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## 1754 6 1 3 2 grassy 0.0
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## 1756 6 1 10 2 grassy 0.0
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## 1758 6 1 15 2 grassy 1.5
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## 1760 6 1 16 2 grassy 1.6
## 1761 6 1 19 1 grassy 0.0
## 1762 6 1 19 2 grassy 3.8
## 1763 6 1 31 1 grassy 0.0
## 1764 6 1 31 2 grassy 0.0
## 1765 6 1 51 1 grassy 1.7
## 1766 6 1 51 2 grassy 2.1
## 1767 6 1 52 1 grassy 0.0
## 1768 6 1 52 2 grassy 0.0
## 1769 6 1 63 1 grassy 0.0
## 1770 6 1 63 2 grassy 0.0
## 1771 6 1 78 1 grassy 0.0
## 1772 6 1 78 2 grassy 0.0
## 1773 6 1 79 1 grassy 0.0
## 1774 6 1 79 2 grassy 0.0
## 1775 6 1 86 1 grassy 0.0
## 1776 6 1 86 2 grassy 0.0
## 1777 6 2 3 1 grassy 0.0
## 1778 6 2 3 2 grassy 0.0
## 1779 6 2 10 1 grassy 0.0
## 1780 6 2 10 2 grassy 0.0
## 1781 6 2 15 1 grassy 0.3
## 1782 6 2 15 2 grassy 0.5
## 1783 6 2 16 1 grassy 6.6
## 1784 6 2 16 2 grassy 3.0
## 1785 6 2 19 1 grassy 2.9
## 1786 6 2 19 2 grassy 0.0
## 1787 6 2 31 1 grassy 0.0
## 1788 6 2 31 2 grassy 1.3
## 1789 6 2 51 1 grassy 0.0
## 1790 6 2 51 2 grassy 1.1
## 1791 6 2 52 1 grassy 1.8
## 1792 6 2 52 2 grassy 0.8
## 1793 6 2 63 1 grassy 0.0
## 1794 6 2 63 2 grassy 0.0
## 1795 6 2 78 1 grassy 0.0
## 1796 6 2 78 2 grassy 1.1
## 1797 6 2 79 1 grassy 0.0
## 1798 6 2 79 2 grassy 0.0
## 1799 6 2 86 1 grassy 2.7
## 1800 6 2 86 2 grassy 0.0
## 1801 6 3 3 1 grassy 0.0
## 1802 6 3 3 2 grassy 0.0
## 1803 6 3 10 1 grassy 0.0
## 1804 6 3 10 2 grassy 0.0
## 1805 6 3 15 1 grassy 0.1
## 1806 6 3 15 2 grassy 0.3
## 1807 6 3 16 1 grassy 3.1
## 1808 6 3 16 2 grassy 0.9
## 1809 6 3 19 1 grassy 0.0
## 1810 6 3 19 2 grassy 0.0
## 1811 6 3 31 1 grassy 0.0
## 1812 6 3 31 2 grassy 2.5
## 1813 6 3 51 1 grassy 0.9
## 1814 6 3 51 2 grassy 2.3
## 1815 6 3 52 1 grassy 0.8
## 1816 6 3 52 2 grassy 1.1
## 1817 6 3 63 1 grassy 0.0
## 1818 6 3 63 2 grassy 0.0
## 1819 6 3 78 1 grassy 1.5
## 1820 6 3 78 2 grassy 1.2
## 1821 6 3 79 1 grassy 0.5
## 1822 6 3 79 2 grassy 0.0
## 1823 6 3 86 1 grassy 0.0
## 1824 6 3 86 2 grassy 0.0
## 1825 7 1 3 1 grassy 0.0
## 1826 7 1 3 2 grassy 0.0
## 1827 7 1 10 1 grassy 0.0
## 1828 7 1 10 2 grassy 0.0
## 1829 7 1 15 1 grassy 0.0
## 1830 7 1 15 2 grassy 0.0
## 1831 7 1 16 1 grassy 0.4
## 1832 7 1 16 2 grassy 0.1
## 1833 7 1 19 1 grassy 0.0
## 1834 7 1 19 2 grassy 0.0
## 1835 7 1 31 1 grassy 0.0
## 1836 7 1 31 2 grassy 0.0
## 1837 7 1 51 1 grassy 0.1
## 1838 7 1 51 2 grassy 0.0
## 1839 7 1 52 1 grassy 1.7
## 1840 7 1 52 2 grassy 1.6
## 1841 7 1 63 1 grassy 0.0
## 1842 7 1 63 2 grassy 0.0
## 1843 7 1 78 1 grassy 0.0
## 1844 7 1 78 2 grassy 0.0
## 1845 7 1 79 1 grassy 0.0
## 1846 7 1 79 2 grassy 0.0
## 1847 7 1 86 1 grassy 0.0
## 1848 7 1 86 2 grassy 0.0
## 1849 7 2 3 1 grassy 0.0
## 1850 7 2 3 2 grassy 0.0
## 1851 7 2 10 1 grassy 0.0
## 1852 7 2 10 2 grassy 0.0
## 1853 7 2 15 1 grassy 0.2
## 1854 7 2 15 2 grassy 0.0
## 1855 7 2 16 1 grassy 0.0
## 1856 7 2 16 2 grassy 0.3
## 1857 7 2 19 1 grassy 0.0
## 1858 7 2 19 2 grassy 6.7
## 1859 7 2 31 1 grassy 0.0
## 1860 7 2 31 2 grassy 0.0
## 1861 7 2 51 1 grassy 0.0
## 1862 7 2 51 2 grassy 3.2
## 1863 7 2 52 1 grassy 1.5
## 1864 7 2 52 2 grassy 1.3
## 1865 7 2 63 1 grassy 0.0
## 1866 7 2 63 2 grassy 0.0
## 1867 7 2 78 1 grassy 0.0
## 1868 7 2 78 2 grassy 0.0
## 1869 7 2 79 1 grassy 0.0
## 1870 7 2 79 2 grassy 0.0
## 1871 7 2 86 1 grassy 0.0
## 1872 7 2 86 2 grassy 0.0
## 1873 7 3 3 1 grassy 0.0
## 1874 7 3 3 2 grassy 0.0
## 1875 7 3 10 1 grassy 0.0
## 1876 7 3 10 2 grassy 0.0
## 1877 7 3 15 1 grassy 0.0
## 1878 7 3 15 2 grassy 0.1
## 1879 7 3 16 1 grassy 0.0
## 1880 7 3 16 2 grassy 0.1
## 1881 7 3 19 1 grassy 0.0
## 1882 7 3 19 2 grassy 0.0
## 1883 7 3 31 1 grassy 0.0
## 1884 7 3 31 2 grassy 0.0
## 1885 7 3 51 1 grassy 2.9
## 1886 7 3 51 2 grassy 1.1
## 1887 7 3 52 1 grassy 1.1
## 1888 7 3 52 2 grassy 3.7
## 1889 7 3 63 1 grassy 0.0
## 1890 7 3 63 2 grassy 0.0
## 1891 7 3 78 1 grassy 0.0
## 1892 7 3 78 2 grassy 0.0
## 1893 7 3 79 1 grassy 0.0
## 1894 7 3 79 2 grassy 0.0
## 1895 7 3 86 1 grassy 2.8
## 1896 7 3 86 2 grassy 1.4
## 1897 8 1 3 1 grassy 1.3
## 1898 8 1 3 2 grassy 0.0
## 1899 8 1 10 1 grassy 0.0
## 1900 8 1 10 2 grassy 0.0
## 1901 8 1 15 1 grassy 0.1
## 1902 8 1 15 2 grassy 0.0
## 1903 8 1 16 1 grassy 1.8
## 1904 8 1 16 2 grassy 0.2
## 1905 8 1 19 1 grassy 0.0
## 1906 8 1 19 2 grassy 11.1
## 1907 8 1 31 1 grassy 0.0
## 1908 8 1 31 2 grassy 0.0
## 1909 8 1 51 1 grassy 0.7
## 1910 8 1 51 2 grassy 0.0
## 1911 8 1 52 1 grassy 0.0
## 1912 8 1 52 2 grassy 0.0
## 1913 8 1 63 1 grassy 0.0
## 1914 8 1 63 2 grassy 0.0
## 1915 8 1 78 1 grassy 0.0
## 1916 8 1 78 2 grassy 0.0
## 1917 8 1 79 1 grassy 0.0
## 1918 8 1 79 2 grassy 0.0
## 1919 8 1 86 1 grassy 0.0
## 1920 8 1 86 2 grassy 0.0
## 1921 8 2 3 1 grassy 0.0
## 1922 8 2 3 2 grassy 0.0
## 1923 8 2 10 1 grassy 0.0
## 1924 8 2 10 2 grassy 0.0
## 1925 8 2 15 1 grassy 0.3
## 1926 8 2 15 2 grassy 0.1
## 1927 8 2 16 1 grassy 1.4
## 1928 8 2 16 2 grassy 0.2
## 1929 8 2 19 1 grassy 0.0
## 1930 8 2 19 2 grassy 0.0
## 1931 8 2 31 1 grassy 0.0
## 1932 8 2 31 2 grassy 0.0
## 1933 8 2 51 1 grassy 2.0
## 1934 8 2 51 2 grassy 4.1
## 1935 8 2 52 1 grassy 0.0
## 1936 8 2 52 2 grassy 0.0
## 1937 8 2 63 1 grassy 0.0
## 1938 8 2 63 2 grassy 0.0
## 1939 8 2 78 1 grassy 0.0
## 1940 8 2 78 2 grassy 0.0
## 1941 8 2 79 1 grassy 0.0
## 1942 8 2 79 2 grassy 1.4
## 1943 8 2 86 1 grassy 0.0
## 1944 8 2 86 2 grassy 0.0
## 1945 8 3 3 1 grassy 0.0
## 1946 8 3 3 2 grassy 0.0
## 1947 8 3 10 1 grassy 0.0
## 1948 8 3 10 2 grassy 0.0
## 1949 8 3 15 1 grassy 0.0
## 1950 8 3 15 2 grassy 0.2
## 1951 8 3 16 1 grassy 0.5
## 1952 8 3 16 2 grassy 0.1
## 1953 8 3 19 1 grassy 0.0
## 1954 8 3 19 2 grassy 0.0
## 1955 8 3 31 1 grassy 0.0
## 1956 8 3 31 2 grassy 0.0
## 1957 8 3 51 1 grassy 1.9
## 1958 8 3 51 2 grassy 0.0
## 1959 8 3 52 1 grassy 0.0
## 1960 8 3 52 2 grassy 0.0
## 1961 8 3 63 1 grassy 0.0
## 1962 8 3 63 2 grassy 0.0
## 1963 8 3 78 1 grassy 0.0
## 1964 8 3 78 2 grassy 0.0
## 1965 8 3 79 1 grassy 0.0
## 1966 8 3 79 2 grassy 0.0
## 1967 8 3 86 1 grassy 0.0
## 1968 8 3 86 2 grassy 0.0
## 1969 9 1 3 1 grassy 0.0
## 1970 9 1 3 2 grassy 0.0
## 1971 9 1 10 1 grassy 0.0
## 1972 9 1 10 2 grassy 0.0
## 1973 9 1 15 1 grassy 0.1
## 1974 9 1 15 2 grassy 0.0
## 1975 9 1 16 1 grassy 0.1
## 1976 9 1 16 2 grassy 0.1
## 1977 9 1 19 1 grassy 0.0
## 1978 9 1 19 2 grassy 0.0
## 1979 9 1 51 1 grassy 1.7
## 1980 9 1 51 2 grassy 0.7
## 1981 9 1 52 1 grassy 0.0
## 1982 9 1 52 2 grassy 0.0
## 1983 9 1 63 1 grassy 0.0
## 1984 9 1 63 2 grassy 0.0
## 1985 9 1 78 1 grassy 0.0
## 1986 9 1 78 2 grassy 0.0
## 1987 9 1 79 1 grassy 0.0
## 1988 9 1 79 2 grassy 0.0
## 1989 9 2 3 1 grassy 0.0
## 1990 9 2 3 2 grassy 0.0
## 1991 9 2 10 1 grassy 0.0
## 1992 9 2 10 2 grassy 0.0
## 1993 9 2 15 1 grassy 0.2
## 1994 9 2 15 2 grassy 0.0
## 1995 9 2 16 1 grassy 0.5
## 1996 9 2 16 2 grassy 0.0
## 1997 9 2 19 1 grassy 0.0
## 1998 9 2 19 2 grassy 0.0
## 1999 9 2 51 1 grassy 0.0
## 2000 9 2 51 2 grassy 0.0
## 2001 9 2 52 1 grassy 0.0
## 2002 9 2 52 2 grassy 0.0
## 2003 9 2 63 1 grassy 0.0
## 2004 9 2 63 2 grassy 0.0
## 2005 9 2 78 1 grassy 0.0
## 2006 9 2 78 2 grassy 0.9
## 2007 9 2 79 1 grassy 0.0
## 2008 9 2 79 2 grassy 0.0
## 2009 9 3 3 1 grassy 0.0
## 2010 9 3 3 2 grassy 0.0
## 2011 9 3 10 1 grassy 0.0
## 2012 9 3 10 2 grassy 0.0
## 2013 9 3 15 1 grassy 0.1
## 2014 9 3 15 2 grassy 0.0
## 2015 9 3 16 1 grassy 0.7
## 2016 9 3 16 2 grassy 2.4
## 2017 9 3 19 1 grassy 0.0
## 2018 9 3 19 2 grassy 7.2
## 2019 9 3 51 1 grassy 1.9
## 2020 9 3 51 2 grassy 0.0
## 2021 9 3 52 1 grassy 0.0
## 2022 9 3 52 2 grassy 0.0
## 2023 9 3 63 1 grassy 0.0
## 2024 9 3 63 2 grassy 0.0
## 2025 9 3 78 1 grassy 0.0
## 2026 9 3 78 2 grassy 0.0
## 2027 9 3 79 1 grassy 0.0
## 2028 9 3 79 2 grassy 0.0
## 2029 10 1 10 1 grassy 1.6
## 2030 10 1 10 2 grassy 0.0
## 2031 10 1 15 1 grassy 0.1
## 2032 10 1 15 2 grassy 0.1
## 2033 10 1 16 1 grassy 0.0
## 2034 10 1 16 2 grassy 0.0
## 2035 10 1 19 1 grassy 0.0
## 2036 10 1 19 2 grassy 2.7
## 2037 10 1 31 1 grassy 0.0
## 2038 10 1 31 2 grassy 0.0
## 2039 10 1 51 1 grassy 1.4
## 2040 10 1 51 2 grassy 2.0
## 2041 10 1 52 1 grassy 0.0
## 2042 10 1 52 2 grassy 0.0
## 2043 10 1 63 1 grassy 0.0
## 2044 10 1 63 2 grassy 0.0
## 2045 10 1 78 1 grassy 0.0
## 2046 10 1 78 2 grassy 1.2
## 2047 10 1 86 1 grassy 0.0
## 2048 10 1 86 2 grassy 0.0
## 2049 10 2 10 1 grassy 2.0
## 2050 10 2 10 2 grassy 0.0
## 2051 10 2 15 1 grassy 0.3
## 2052 10 2 15 2 grassy 0.2
## 2053 10 2 16 1 grassy 1.2
## 2054 10 2 16 2 grassy 1.1
## 2055 10 2 19 1 grassy 1.7
## 2056 10 2 19 2 grassy 4.2
## 2057 10 2 31 1 grassy 0.0
## 2058 10 2 31 2 grassy 0.0
## 2059 10 2 51 1 grassy 0.8
## 2060 10 2 51 2 grassy 2.4
## 2061 10 2 52 1 grassy 0.0
## 2062 10 2 52 2 grassy 0.0
## 2063 10 2 63 1 grassy 0.0
## 2064 10 2 63 2 grassy 0.0
## 2065 10 2 78 1 grassy 0.0
## 2066 10 2 78 2 grassy 0.0
## 2067 10 2 86 1 grassy 0.0
## 2068 10 2 86 2 grassy 0.0
## 2069 10 3 10 1 grassy 0.0
## 2070 10 3 10 2 grassy 0.0
## 2071 10 3 15 1 grassy 0.1
## 2072 10 3 15 2 grassy 0.0
## 2073 10 3 16 1 grassy 1.0
## 2074 10 3 16 2 grassy 1.6
## 2075 10 3 19 1 grassy 0.0
## 2076 10 3 19 2 grassy 4.6
## 2077 10 3 31 1 grassy 0.0
## 2078 10 3 31 2 grassy 0.0
## 2079 10 3 51 1 grassy 0.0
## 2080 10 3 51 2 grassy 2.0
## 2081 10 3 52 1 grassy 0.2
## 2082 10 3 52 2 grassy 0.0
## 2083 10 3 63 1 grassy 0.0
## 2084 10 3 63 2 grassy 0.0
## 2085 10 3 78 1 grassy 0.9
## 2086 10 3 78 2 grassy 0.0
## 2087 10 3 86 1 grassy 0.0
## 2088 10 3 86 2 grassy 0.0
## 2089 1 1 3 1 rancid 0.0
## 2090 1 1 3 2 rancid 1.1
## 2091 1 1 10 1 rancid 0.0
## 2092 1 1 10 2 rancid 2.2
## 2093 1 1 15 1 rancid 1.1
## 2094 1 1 15 2 rancid 1.5
## 2095 1 1 16 1 rancid 0.1
## 2096 1 1 16 2 rancid 1.4
## 2097 1 1 19 1 rancid 4.9
## 2098 1 1 19 2 rancid 4.3
## 2099 1 1 31 1 rancid 2.5
## 2100 1 1 31 2 rancid 5.6
## 2101 1 1 51 1 rancid 1.4
## 2102 1 1 51 2 rancid 3.3
## 2103 1 1 52 1 rancid 8.5
## 2104 1 1 52 2 rancid 2.8
## 2105 1 1 63 1 rancid 1.1
## 2106 1 1 63 2 rancid 12.9
## 2107 1 1 78 1 rancid 1.1
## 2108 1 1 78 2 rancid 0.5
## 2109 1 1 79 1 rancid 2.0
## 2110 1 1 79 2 rancid 0.0
## 2111 1 1 86 1 rancid 7.9
## 2112 1 1 86 2 rancid 0.0
## 2113 1 2 3 1 rancid 3.9
## 2114 1 2 3 2 rancid 1.5
## 2115 1 2 10 1 rancid 0.0
## 2116 1 2 10 2 rancid 0.0
## 2117 1 2 15 1 rancid 2.0
## 2118 1 2 15 2 rancid 1.9
## 2119 1 2 16 1 rancid 0.2
## 2120 1 2 16 2 rancid 0.4
## 2121 1 2 19 1 rancid 0.0
## 2122 1 2 19 2 rancid 2.5
## 2123 1 2 31 1 rancid 7.0
## 2124 1 2 31 2 rancid 0.8
## 2125 1 2 51 1 rancid 3.3
## 2126 1 2 51 2 rancid 11.8
## 2127 1 2 52 1 rancid 0.0
## 2128 1 2 52 2 rancid 1.7
## 2129 1 2 63 1 rancid 0.0
## 2130 1 2 63 2 rancid 0.2
## 2131 1 2 78 1 rancid 2.0
## 2132 1 2 78 2 rancid 0.9
## 2133 1 2 79 1 rancid 0.0
## 2134 1 2 79 2 rancid 1.1
## 2135 1 2 86 1 rancid 0.0
## 2136 1 2 86 2 rancid 0.0
## 2137 1 3 3 1 rancid 1.1
## 2138 1 3 3 2 rancid 2.8
## 2139 1 3 10 1 rancid 0.0
## 2140 1 3 10 2 rancid 0.0
## 2141 1 3 15 1 rancid 2.8
## 2142 1 3 15 2 rancid 0.8
## 2143 1 3 16 1 rancid 1.4
## 2144 1 3 16 2 rancid 3.6
## 2145 1 3 19 1 rancid 4.4
## 2146 1 3 19 2 rancid 13.2
## 2147 1 3 31 1 rancid 6.6
## 2148 1 3 31 2 rancid 8.1
## 2149 1 3 51 1 rancid 2.1
## 2150 1 3 51 2 rancid 6.0
## 2151 1 3 52 1 rancid 1.2
## 2152 1 3 52 2 rancid 0.0
## 2153 1 3 63 1 rancid 0.0
## 2154 1 3 63 2 rancid 0.4
## 2155 1 3 78 1 rancid 3.6
## 2156 1 3 78 2 rancid 2.5
## 2157 1 3 79 1 rancid 0.9
## 2158 1 3 79 2 rancid 0.9
## 2159 1 3 86 1 rancid 0.0
## 2160 1 3 86 2 rancid 0.0
## 2161 2 1 3 1 rancid 5.8
## 2162 2 1 3 2 rancid 8.6
## 2163 2 1 10 1 rancid 6.2
## 2164 2 1 10 2 rancid 0.0
## 2165 2 1 15 1 rancid 3.9
## 2166 2 1 15 2 rancid 3.3
## 2167 2 1 16 1 rancid 2.8
## 2168 2 1 16 2 rancid 2.0
## 2169 2 1 19 1 rancid 12.8
## 2170 2 1 19 2 rancid 0.0
## 2171 2 1 31 1 rancid 12.1
## 2172 2 1 31 2 rancid 11.9
## 2173 2 1 51 1 rancid 11.1
## 2174 2 1 51 2 rancid 1.1
## 2175 2 1 52 1 rancid 1.1
## 2176 2 1 52 2 rancid 1.0
## 2177 2 1 63 1 rancid 2.3
## 2178 2 1 63 2 rancid 1.1
## 2179 2 1 78 1 rancid 0.0
## 2180 2 1 78 2 rancid 6.0
## 2181 2 1 79 1 rancid 0.5
## 2182 2 1 79 2 rancid 0.0
## 2183 2 1 86 1 rancid 0.0
## 2184 2 1 86 2 rancid 0.0
## 2185 2 2 3 1 rancid 2.1
## 2186 2 2 3 2 rancid 0.0
## 2187 2 2 10 1 rancid 0.0
## 2188 2 2 10 2 rancid 0.0
## 2189 2 2 15 1 rancid 0.2
## 2190 2 2 15 2 rancid 3.1
## 2191 2 2 16 1 rancid 3.0
## 2192 2 2 16 2 rancid 0.1
## 2193 2 2 19 1 rancid 6.5
## 2194 2 2 19 2 rancid 2.0
## 2195 2 2 31 1 rancid 1.3
## 2196 2 2 31 2 rancid 10.6
## 2197 2 2 51 1 rancid 5.7
## 2198 2 2 51 2 rancid 10.0
## 2199 2 2 52 1 rancid 0.0
## 2200 2 2 52 2 rancid 0.0
## 2201 2 2 63 1 rancid 0.0
## 2202 2 2 63 2 rancid 0.0
## 2203 2 2 78 1 rancid 3.8
## 2204 2 2 78 2 rancid 0.6
## 2205 2 2 79 1 rancid 1.0
## 2206 2 2 79 2 rancid 1.4
## 2207 2 2 86 1 rancid 0.0
## 2208 2 2 86 2 rancid 0.0
## 2209 2 3 3 1 rancid 0.1
## 2210 2 3 3 2 rancid 6.6
## 2211 2 3 10 1 rancid 10.0
## 2212 2 3 10 2 rancid 0.0
## 2213 2 3 15 1 rancid 3.4
## 2214 2 3 15 2 rancid 0.1
## 2215 2 3 16 1 rancid 3.7
## 2216 2 3 16 2 rancid 0.1
## 2217 2 3 19 1 rancid 1.4
## 2218 2 3 19 2 rancid 0.0
## 2219 2 3 31 1 rancid 5.8
## 2220 2 3 31 2 rancid 9.3
## 2221 2 3 51 1 rancid 3.1
## 2222 2 3 51 2 rancid 2.7
## 2223 2 3 52 1 rancid 0.0
## 2224 2 3 52 2 rancid 0.0
## 2225 2 3 63 1 rancid 9.8
## 2226 2 3 63 2 rancid 0.0
## 2227 2 3 78 1 rancid 1.2
## 2228 2 3 78 2 rancid 0.0
## 2229 2 3 79 1 rancid 2.6
## 2230 2 3 79 2 rancid 0.0
## 2231 2 3 86 1 rancid 0.0
## 2232 2 3 86 2 rancid 0.0
## 2233 3 1 3 1 rancid 6.0
## 2234 3 1 3 2 rancid 11.0
## 2235 3 1 10 1 rancid 2.6
## 2236 3 1 10 2 rancid 7.7
## 2237 3 1 15 1 rancid 7.2
## 2238 3 1 15 2 rancid 3.8
## 2239 3 1 16 1 rancid 3.8
## 2240 3 1 16 2 rancid 0.1
## 2241 3 1 19 1 rancid 12.7
## 2242 3 1 19 2 rancid 5.2
## 2243 3 1 31 1 rancid 5.2
## 2244 3 1 31 2 rancid 10.0
## 2245 3 1 51 1 rancid 11.0
## 2246 3 1 51 2 rancid 8.5
## 2247 3 1 52 1 rancid 0.3
## 2248 3 1 52 2 rancid 1.0
## 2249 3 1 63 1 rancid 4.2
## 2250 3 1 63 2 rancid 0.8
## 2251 3 1 78 1 rancid 0.0
## 2252 3 1 78 2 rancid 3.8
## 2253 3 1 79 1 rancid 0.0
## 2254 3 1 79 2 rancid 1.6
## 2255 3 1 86 1 rancid 5.1
## 2256 3 1 86 2 rancid 0.0
## 2257 3 2 3 1 rancid 9.2
## 2258 3 2 3 2 rancid 11.4
## 2259 3 2 10 1 rancid 0.0
## 2260 3 2 10 2 rancid 0.0
## 2261 3 2 15 1 rancid 0.3
## 2262 3 2 15 2 rancid 1.0
## 2263 3 2 16 1 rancid 0.0
## 2264 3 2 16 2 rancid 0.0
## 2265 3 2 19 1 rancid 0.9
## 2266 3 2 19 2 rancid 1.4
## 2267 3 2 31 1 rancid 10.1
## 2268 3 2 31 2 rancid 9.1
## 2269 3 2 51 1 rancid 7.5
## 2270 3 2 51 2 rancid 2.6
## 2271 3 2 52 1 rancid 0.0
## 2272 3 2 52 2 rancid 0.0
## 2273 3 2 63 1 rancid 0.0
## 2274 3 2 63 2 rancid 5.9
## 2275 3 2 78 1 rancid 0.0
## 2276 3 2 78 2 rancid 0.7
## 2277 3 2 79 1 rancid 0.9
## 2278 3 2 79 2 rancid 2.6
## 2279 3 2 86 1 rancid 1.9
## 2280 3 2 86 2 rancid 4.0
## 2281 3 3 3 1 rancid 7.1
## 2282 3 3 3 2 rancid 11.1
## 2283 3 3 10 1 rancid 0.0
## 2284 3 3 10 2 rancid 0.0
## 2285 3 3 15 1 rancid 5.5
## 2286 3 3 15 2 rancid 1.5
## 2287 3 3 16 1 rancid 1.0
## 2288 3 3 16 2 rancid 0.7
## 2289 3 3 19 1 rancid 4.0
## 2290 3 3 19 2 rancid 10.8
## 2291 3 3 31 1 rancid 6.8
## 2292 3 3 31 2 rancid 7.7
## 2293 3 3 51 1 rancid 4.4
## 2294 3 3 51 2 rancid 6.8
## 2295 3 3 52 1 rancid 0.0
## 2296 3 3 52 2 rancid 0.0
## 2297 3 3 63 1 rancid 2.6
## 2298 3 3 63 2 rancid 6.7
## 2299 3 3 78 1 rancid 0.0
## 2300 3 3 78 2 rancid 0.0
## 2301 3 3 79 1 rancid 0.0
## 2302 3 3 79 2 rancid 0.7
## 2303 3 3 86 1 rancid 5.9
## 2304 3 3 86 2 rancid 3.1
## 2305 4 1 3 1 rancid 1.7
## 2306 4 1 3 2 rancid 0.9
## 2307 4 1 10 1 rancid 6.5
## 2308 4 1 10 2 rancid 0.0
## 2309 4 1 15 1 rancid 0.2
## 2310 4 1 15 2 rancid 0.1
## 2311 4 1 16 1 rancid 0.1
## 2312 4 1 16 2 rancid 2.8
## 2313 4 1 19 1 rancid 0.0
## 2314 4 1 19 2 rancid 3.2
## 2315 4 1 31 1 rancid 5.1
## 2316 4 1 31 2 rancid 3.7
## 2317 4 1 51 1 rancid 8.8
## 2318 4 1 51 2 rancid 2.7
## 2319 4 1 52 1 rancid 0.0
## 2320 4 1 52 2 rancid 0.0
## 2321 4 1 63 1 rancid 3.0
## 2322 4 1 63 2 rancid 1.7
## 2323 4 1 78 1 rancid 3.2
## 2324 4 1 78 2 rancid 0.0
## 2325 4 1 79 1 rancid 0.0
## 2326 4 1 79 2 rancid 1.4
## 2327 4 1 86 1 rancid 0.0
## 2328 4 1 86 2 rancid 4.8
## 2329 4 2 3 1 rancid 1.3
## 2330 4 2 3 2 rancid 0.8
## 2331 4 2 10 1 rancid 4.3
## 2332 4 2 10 2 rancid 1.4
## 2333 4 2 15 1 rancid 1.8
## 2334 4 2 15 2 rancid 0.2
## 2335 4 2 16 1 rancid 4.7
## 2336 4 2 16 2 rancid 2.5
## 2337 4 2 19 1 rancid 10.8
## 2338 4 2 19 2 rancid 9.7
## 2339 4 2 31 1 rancid 5.0
## 2340 4 2 31 2 rancid 6.0
## 2341 4 2 51 1 rancid 4.5
## 2342 4 2 51 2 rancid 0.1
## 2343 4 2 52 1 rancid 3.1
## 2344 4 2 52 2 rancid 0.5
## 2345 4 2 63 1 rancid 9.3
## 2346 4 2 63 2 rancid 4.0
## 2347 4 2 78 1 rancid 0.0
## 2348 4 2 78 2 rancid 0.0
## 2349 4 2 79 1 rancid 2.7
## 2350 4 2 79 2 rancid 0.0
## 2351 4 2 86 1 rancid 5.2
## 2352 4 2 86 2 rancid 6.4
## 2353 4 3 3 1 rancid 7.8
## 2354 4 3 3 2 rancid 1.3
## 2355 4 3 10 1 rancid 0.0
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## 2939 3 1 31 1 painty 0.0
## 2940 3 1 31 2 painty 4.8
## 2941 3 1 51 1 painty 0.1
## 2942 3 1 51 2 painty 0.0
## 2943 3 1 52 1 painty 0.0
## 2944 3 1 52 2 painty 0.0
## 2945 3 1 63 1 painty 3.6
## 2946 3 1 63 2 painty 0.0
## 2947 3 1 78 1 painty 6.0
## 2948 3 1 78 2 painty 1.7
## 2949 3 1 79 1 painty 0.0
## 2950 3 1 79 2 painty 0.0
## 2951 3 1 86 1 painty 0.0
## 2952 3 1 86 2 painty 0.0
## 2953 3 2 3 1 painty 0.0
## 2954 3 2 3 2 painty 0.0
## 2955 3 2 10 1 painty 0.0
## 2956 3 2 10 2 painty 0.0
## 2957 3 2 15 1 painty 0.1
## 2958 3 2 15 2 painty 0.0
## 2959 3 2 16 1 painty 0.0
## 2960 3 2 16 2 painty 0.0
## 2961 3 2 19 1 painty 1.4
## 2962 3 2 19 2 painty 9.4
## 2963 3 2 31 1 painty 8.2
## 2964 3 2 31 2 painty 8.2
## 2965 3 2 51 1 painty 2.9
## 2966 3 2 51 2 painty 0.0
## 2967 3 2 52 1 painty 0.0
## 2968 3 2 52 2 painty 0.0
## 2969 3 2 63 1 painty 0.0
## 2970 3 2 63 2 painty 0.0
## 2971 3 2 78 1 painty 2.5
## 2972 3 2 78 2 painty 4.8
## 2973 3 2 79 1 painty 0.0
## 2974 3 2 79 2 painty 0.0
## 2975 3 2 86 1 painty 0.0
## 2976 3 2 86 2 painty 0.0
## 2977 3 3 3 1 painty 0.0
## 2978 3 3 3 2 painty 0.0
## 2979 3 3 10 1 painty 0.0
## 2980 3 3 10 2 painty 0.0
## 2981 3 3 15 1 painty 0.5
## 2982 3 3 15 2 painty 0.9
## 2983 3 3 16 1 painty 0.0
## 2984 3 3 16 2 painty 0.8
## 2985 3 3 19 1 painty 0.0
## 2986 3 3 19 2 painty 0.0
## 2987 3 3 31 1 painty 0.0
## 2988 3 3 31 2 painty 9.1
## 2989 3 3 51 1 painty 5.1
## 2990 3 3 51 2 painty 3.5
## 2991 3 3 52 1 painty 0.0
## 2992 3 3 52 2 painty 0.0
## 2993 3 3 63 1 painty 0.0
## 2994 3 3 63 2 painty 0.0
## 2995 3 3 78 1 painty 0.8
## 2996 3 3 78 2 painty 6.5
## 2997 3 3 79 1 painty 0.0
## 2998 3 3 79 2 painty 0.0
## 2999 3 3 86 1 painty 2.9
## 3000 3 3 86 2 painty 0.0
## 3001 4 1 3 1 painty 0.0
## 3002 4 1 3 2 painty 0.0
## 3003 4 1 10 1 painty 1.1
## 3004 4 1 10 2 painty 0.0
## 3005 4 1 15 1 painty 0.0
## 3006 4 1 15 2 painty 0.0
## 3007 4 1 16 1 painty 0.0
## 3008 4 1 16 2 painty 0.0
## 3009 4 1 19 1 painty 0.0
## 3010 4 1 19 2 painty 0.0
## 3011 4 1 31 1 painty 0.9
## 3012 4 1 31 2 painty 0.0
## 3013 4 1 51 1 painty 9.2
## 3014 4 1 51 2 painty 0.0
## 3015 4 1 52 1 painty 0.0
## 3016 4 1 52 2 painty 0.0
## 3017 4 1 63 1 painty 0.0
## 3018 4 1 63 2 painty 0.0
## 3019 4 1 78 1 painty 0.0
## 3020 4 1 78 2 painty 0.0
## 3021 4 1 79 1 painty 0.0
## 3022 4 1 79 2 painty 0.0
## 3023 4 1 86 1 painty 0.0
## 3024 4 1 86 2 painty 0.0
## 3025 4 2 3 1 painty 0.0
## 3026 4 2 3 2 painty 0.0
## 3027 4 2 10 1 painty 0.0
## 3028 4 2 10 2 painty 0.0
## 3029 4 2 15 1 painty 0.0
## 3030 4 2 15 2 painty 0.1
## 3031 4 2 16 1 painty 0.0
## 3032 4 2 16 2 painty 0.0
## 3033 4 2 19 1 painty 4.4
## 3034 4 2 19 2 painty 5.4
## 3035 4 2 31 1 painty 8.6
## 3036 4 2 31 2 painty 6.6
## 3037 4 2 51 1 painty 7.4
## 3038 4 2 51 2 painty 4.2
## 3039 4 2 52 1 painty 0.0
## 3040 4 2 52 2 painty 0.0
## 3041 4 2 63 1 painty 2.1
## 3042 4 2 63 2 painty 0.8
## 3043 4 2 78 1 painty 1.6
## 3044 4 2 78 2 painty 3.4
## 3045 4 2 79 1 painty 0.0
## 3046 4 2 79 2 painty 0.0
## 3047 4 2 86 1 painty 0.0
## 3048 4 2 86 2 painty 0.0
## 3049 4 3 3 1 painty 0.0
## 3050 4 3 3 2 painty 0.0
## 3051 4 3 10 1 painty 0.0
## 3052 4 3 10 2 painty 0.0
## 3053 4 3 15 1 painty 0.0
## 3054 4 3 15 2 painty 0.0
## 3055 4 3 16 1 painty 1.0
## 3056 4 3 16 2 painty 1.0
## 3057 4 3 19 1 painty 0.0
## 3058 4 3 19 2 painty 0.0
## 3059 4 3 31 1 painty 3.1
## 3060 4 3 31 2 painty 2.6
## 3061 4 3 51 1 painty 0.0
## 3062 4 3 51 2 painty 5.3
## 3063 4 3 52 1 painty 0.0
## 3064 4 3 52 2 painty 0.0
## 3065 4 3 63 1 painty 4.4
## 3066 4 3 63 2 painty 3.4
## 3067 4 3 78 1 painty 5.6
## 3068 4 3 78 2 painty 6.2
## 3069 4 3 79 1 painty 0.0
## 3070 4 3 79 2 painty 0.0
## 3071 4 3 86 1 painty 5.7
## 3072 4 3 86 2 painty 4.7
## 3073 5 1 3 1 painty 1.7
## 3074 5 1 3 2 painty 0.0
## 3075 5 1 10 1 painty 2.4
## 3076 5 1 10 2 painty 3.9
## 3077 5 1 15 1 painty 1.3
## 3078 5 1 15 2 painty 0.1
## 3079 5 1 16 1 painty 2.0
## 3080 5 1 16 2 painty 1.0
## 3081 5 1 19 1 painty 7.1
## 3082 5 1 19 2 painty 7.1
## 3083 5 1 31 1 painty 0.0
## 3084 5 1 31 2 painty 3.3
## 3085 5 1 51 1 painty 6.2
## 3086 5 1 51 2 painty 2.3
## 3087 5 1 52 1 painty 3.2
## 3088 5 1 52 2 painty 0.3
## 3089 5 1 63 1 painty 5.2
## 3090 5 1 63 2 painty 9.8
## 3091 5 1 78 1 painty 3.3
## 3092 5 1 78 2 painty 6.0
## 3093 5 1 79 1 painty 0.0
## 3094 5 1 79 2 painty 0.0
## 3095 5 1 86 1 painty 2.8
## 3096 5 1 86 2 painty 3.2
## 3097 5 2 3 1 painty 0.0
## 3098 5 2 3 2 painty 0.0
## 3099 5 2 10 1 painty 0.0
## 3100 5 2 10 2 painty 2.2
## 3101 5 2 15 1 painty 0.0
## 3102 5 2 15 2 painty 0.4
## 3103 5 2 16 1 painty 0.5
## 3104 5 2 16 2 painty 0.0
## 3105 5 2 19 1 painty 0.0
## 3106 5 2 19 2 painty 4.6
## 3107 5 2 31 1 painty 0.4
## 3108 5 2 31 2 painty 0.0
## 3109 5 2 51 1 painty 0.0
## 3110 5 2 51 2 painty 0.0
## 3111 5 2 52 1 painty 0.0
## 3112 5 2 52 2 painty 0.9
## 3113 5 2 63 1 painty 0.6
## 3114 5 2 63 2 painty 4.7
## 3115 5 2 78 1 painty 0.0
## 3116 5 2 78 2 painty 3.4
## 3117 5 2 79 1 painty 0.0
## 3118 5 2 79 2 painty 0.0
## 3119 5 2 86 1 painty 0.0
## 3120 5 2 86 2 painty 0.0
## 3121 5 3 3 1 painty 0.0
## 3122 5 3 3 2 painty 3.2
## 3123 5 3 10 1 painty 0.0
## 3124 5 3 10 2 painty 0.0
## 3125 5 3 15 1 painty NA
## 3126 5 3 15 2 painty 0.4
## 3127 5 3 16 1 painty 0.0
## 3128 5 3 16 2 painty 0.0
## 3129 5 3 19 1 painty 1.5
## 3130 5 3 19 2 painty 10.3
## 3131 5 3 31 1 painty 6.9
## 3132 5 3 31 2 painty 4.2
## 3133 5 3 51 1 painty 0.0
## 3134 5 3 51 2 painty 5.1
## 3135 5 3 52 1 painty 0.0
## 3136 5 3 52 2 painty 9.2
## 3137 5 3 63 1 painty 1.4
## 3138 5 3 63 2 painty 9.7
## 3139 5 3 78 1 painty 1.3
## 3140 5 3 78 2 painty 0.0
## 3141 5 3 79 1 painty 0.0
## 3142 5 3 79 2 painty 0.0
## 3143 5 3 86 1 painty 0.0
## 3144 5 3 86 2 painty 0.0
## 3145 6 1 3 1 painty 9.5
## 3146 6 1 3 2 painty 3.0
## 3147 6 1 10 1 painty 0.0
## 3148 6 1 10 2 painty 0.0
## 3149 6 1 15 1 painty 8.7
## 3150 6 1 15 2 painty 4.7
## 3151 6 1 16 1 painty 1.2
## 3152 6 1 16 2 painty 2.2
## 3153 6 1 19 1 painty 0.0
## 3154 6 1 19 2 painty 2.8
## 3155 6 1 31 1 painty 0.0
## 3156 6 1 31 2 painty 0.6
## 3157 6 1 51 1 painty 0.0
## 3158 6 1 51 2 painty 4.5
## 3159 6 1 52 1 painty 0.8
## 3160 6 1 52 2 painty 2.2
## 3161 6 1 63 1 painty 6.2
## 3162 6 1 63 2 painty 5.0
## 3163 6 1 78 1 painty 4.3
## 3164 6 1 78 2 painty 0.9
## 3165 6 1 79 1 painty 0.0
## 3166 6 1 79 2 painty 0.0
## 3167 6 1 86 1 painty 0.9
## 3168 6 1 86 2 painty 3.8
## 3169 6 2 3 1 painty 0.0
## 3170 6 2 3 2 painty 6.7
## 3171 6 2 10 1 painty 0.0
## 3172 6 2 10 2 painty 0.0
## 3173 6 2 15 1 painty 2.0
## 3174 6 2 15 2 painty 0.1
## 3175 6 2 16 1 painty 1.0
## 3176 6 2 16 2 painty 4.6
## 3177 6 2 19 1 painty 0.0
## 3178 6 2 19 2 painty 12.2
## 3179 6 2 31 1 painty 0.0
## 3180 6 2 31 2 painty 9.9
## 3181 6 2 51 1 painty 0.0
## 3182 6 2 51 2 painty 0.0
## 3183 6 2 52 1 painty 0.0
## 3184 6 2 52 2 painty 2.6
## 3185 6 2 63 1 painty 11.1
## 3186 6 2 63 2 painty 8.8
## 3187 6 2 78 1 painty 7.0
## 3188 6 2 78 2 painty 0.0
## 3189 6 2 79 1 painty 0.0
## 3190 6 2 79 2 painty 0.0
## 3191 6 2 86 1 painty 0.0
## 3192 6 2 86 2 painty 0.0
## 3193 6 3 3 1 painty 0.9
## 3194 6 3 3 2 painty 4.7
## 3195 6 3 10 1 painty 0.0
## 3196 6 3 10 2 painty 0.0
## 3197 6 3 15 1 painty 6.0
## 3198 6 3 15 2 painty 0.5
## 3199 6 3 16 1 painty 1.3
## 3200 6 3 16 2 painty 0.2
## 3201 6 3 19 1 painty 0.0
## 3202 6 3 19 2 painty 6.0
## 3203 6 3 31 1 painty 0.3
## 3204 6 3 31 2 painty 9.7
## 3205 6 3 51 1 painty 2.0
## 3206 6 3 51 2 painty 0.0
## 3207 6 3 52 1 painty 0.4
## 3208 6 3 52 2 painty 0.4
## 3209 6 3 63 1 painty 1.7
## 3210 6 3 63 2 painty 0.8
## 3211 6 3 78 1 painty 2.9
## 3212 6 3 78 2 painty 2.4
## 3213 6 3 79 1 painty 0.0
## 3214 6 3 79 2 painty 0.0
## 3215 6 3 86 1 painty 0.0
## 3216 6 3 86 2 painty 1.1
## 3217 7 1 3 1 painty 5.5
## 3218 7 1 3 2 painty 8.2
## 3219 7 1 10 1 painty 0.0
## 3220 7 1 10 2 painty 0.0
## 3221 7 1 15 1 painty 5.1
## 3222 7 1 15 2 painty 2.7
## 3223 7 1 16 1 painty 0.2
## 3224 7 1 16 2 painty 0.1
## 3225 7 1 19 1 painty 3.2
## 3226 7 1 19 2 painty 0.0
## 3227 7 1 31 1 painty 2.0
## 3228 7 1 31 2 painty 0.0
## 3229 7 1 51 1 painty 0.1
## 3230 7 1 51 2 painty 0.0
## 3231 7 1 52 1 painty 1.1
## 3232 7 1 52 2 painty 2.1
## 3233 7 1 63 1 painty 0.4
## 3234 7 1 63 2 painty 2.1
## 3235 7 1 78 1 painty 3.5
## 3236 7 1 78 2 painty 2.0
## 3237 7 1 79 1 painty 0.0
## 3238 7 1 79 2 painty 0.0
## 3239 7 1 86 1 painty 4.9
## 3240 7 1 86 2 painty 9.5
## 3241 7 2 3 1 painty 7.6
## 3242 7 2 3 2 painty 7.9
## 3243 7 2 10 1 painty 0.0
## 3244 7 2 10 2 painty 0.0
## 3245 7 2 15 1 painty 4.7
## 3246 7 2 15 2 painty 1.8
## 3247 7 2 16 1 painty 0.0
## 3248 7 2 16 2 painty 0.1
## 3249 7 2 19 1 painty 8.9
## 3250 7 2 19 2 painty 3.0
## 3251 7 2 31 1 painty 8.5
## 3252 7 2 31 2 painty 3.0
## 3253 7 2 51 1 painty 5.3
## 3254 7 2 51 2 painty 0.1
## 3255 7 2 52 1 painty 2.6
## 3256 7 2 52 2 painty 1.4
## 3257 7 2 63 1 painty 6.9
## 3258 7 2 63 2 painty 1.3
## 3259 7 2 78 1 painty 1.5
## 3260 7 2 78 2 painty 0.0
## 3261 7 2 79 1 painty 0.0
## 3262 7 2 79 2 painty 0.0
## 3263 7 2 86 1 painty 7.3
## 3264 7 2 86 2 painty 1.1
## 3265 7 3 3 1 painty 3.0
## 3266 7 3 3 2 painty 9.8
## 3267 7 3 10 1 painty 0.0
## 3268 7 3 10 2 painty 0.0
## 3269 7 3 15 1 painty 3.8
## 3270 7 3 15 2 painty 6.0
## 3271 7 3 16 1 painty 0.0
## 3272 7 3 16 2 painty 0.0
## 3273 7 3 19 1 painty 0.0
## 3274 7 3 19 2 painty 11.5
## 3275 7 3 31 1 painty 3.6
## 3276 7 3 31 2 painty 8.0
## 3277 7 3 51 1 painty 1.6
## 3278 7 3 51 2 painty 4.9
## 3279 7 3 52 1 painty 0.0
## 3280 7 3 52 2 painty 0.2
## 3281 7 3 63 1 painty 0.0
## 3282 7 3 63 2 painty 0.9
## 3283 7 3 78 1 painty 6.2
## 3284 7 3 78 2 painty 3.5
## 3285 7 3 79 1 painty 0.5
## 3286 7 3 79 2 painty 0.0
## 3287 7 3 86 1 painty 0.0
## 3288 7 3 86 2 painty 4.0
## 3289 8 1 3 1 painty 3.8
## 3290 8 1 3 2 painty 8.1
## 3291 8 1 10 1 painty 0.0
## 3292 8 1 10 2 painty 3.5
## 3293 8 1 15 1 painty 5.4
## 3294 8 1 15 2 painty 2.6
## 3295 8 1 16 1 painty 2.9
## 3296 8 1 16 2 painty 2.7
## 3297 8 1 19 1 painty 0.0
## 3298 8 1 19 2 painty 2.0
## 3299 8 1 31 1 painty 1.2
## 3300 8 1 31 2 painty 10.3
## 3301 8 1 51 1 painty 0.0
## 3302 8 1 51 2 painty 3.8
## 3303 8 1 52 1 painty 6.5
## 3304 8 1 52 2 painty 6.4
## 3305 8 1 63 1 painty 9.2
## 3306 8 1 63 2 painty 12.9
## 3307 8 1 78 1 painty 1.3
## 3308 8 1 78 2 painty 8.3
## 3309 8 1 79 1 painty 0.0
## 3310 8 1 79 2 painty 0.0
## 3311 8 1 86 1 painty 7.6
## 3312 8 1 86 2 painty 11.6
## 3313 8 2 3 1 painty 6.8
## 3314 8 2 3 2 painty 7.6
## 3315 8 2 10 1 painty 0.0
## 3316 8 2 10 2 painty 0.0
## 3317 8 2 15 1 painty 3.6
## 3318 8 2 15 2 painty 5.6
## 3319 8 2 16 1 painty 0.0
## 3320 8 2 16 2 painty 0.0
## 3321 8 2 19 1 painty 0.0
## 3322 8 2 19 2 painty 0.0
## 3323 8 2 31 1 painty 0.0
## 3324 8 2 31 2 painty 9.1
## 3325 8 2 51 1 painty 0.0
## 3326 8 2 51 2 painty 2.3
## 3327 8 2 52 1 painty 2.9
## 3328 8 2 52 2 painty 8.7
## 3329 8 2 63 1 painty 9.7
## 3330 8 2 63 2 painty 4.2
## 3331 8 2 78 1 painty 3.6
## 3332 8 2 78 2 painty 6.3
## 3333 8 2 79 1 painty 0.0
## 3334 8 2 79 2 painty NA
## 3335 8 2 86 1 painty 10.5
## 3336 8 2 86 2 painty 8.0
## 3337 8 3 3 1 painty 5.9
## 3338 8 3 3 2 painty 11.3
## 3339 8 3 10 1 painty 0.0
## 3340 8 3 10 2 painty 0.0
## 3341 8 3 15 1 painty 3.4
## 3342 8 3 15 2 painty 6.8
## 3343 8 3 16 1 painty 0.1
## 3344 8 3 16 2 painty 0.0
## 3345 8 3 19 1 painty 5.3
## 3346 8 3 19 2 painty 8.5
## 3347 8 3 31 1 painty 3.3
## 3348 8 3 31 2 painty 0.0
## 3349 8 3 51 1 painty 0.1
## 3350 8 3 51 2 painty 0.1
## 3351 8 3 52 1 painty 7.2
## 3352 8 3 52 2 painty 3.5
## 3353 8 3 63 1 painty 0.4
## 3354 8 3 63 2 painty 6.6
## 3355 8 3 78 1 painty 0.6
## 3356 8 3 78 2 painty 1.3
## 3357 8 3 79 1 painty 0.0
## 3358 8 3 79 2 painty 0.0
## 3359 8 3 86 1 painty 7.5
## 3360 8 3 86 2 painty 8.7
## 3361 9 1 3 1 painty 7.0
## 3362 9 1 3 2 painty 3.4
## 3363 9 1 10 1 painty 0.0
## 3364 9 1 10 2 painty 0.0
## 3365 9 1 15 1 painty 10.8
## 3366 9 1 15 2 painty 3.1
## 3367 9 1 16 1 painty 0.2
## 3368 9 1 16 2 painty 0.0
## 3369 9 1 19 1 painty 2.4
## 3370 9 1 19 2 painty 0.0
## 3371 9 1 51 1 painty 3.0
## 3372 9 1 51 2 painty 1.6
## 3373 9 1 52 1 painty 3.7
## 3374 9 1 52 2 painty 3.2
## 3375 9 1 63 1 painty 12.8
## 3376 9 1 63 2 painty 1.7
## 3377 9 1 78 1 painty 5.2
## 3378 9 1 78 2 painty 0.0
## 3379 9 1 79 1 painty 0.0
## 3380 9 1 79 2 painty 0.0
## 3381 9 2 3 1 painty 0.0
## 3382 9 2 3 2 painty 7.0
## 3383 9 2 10 1 painty 10.6
## 3384 9 2 10 2 painty 0.0
## 3385 9 2 15 1 painty 10.6
## 3386 9 2 15 2 painty 6.4
## 3387 9 2 16 1 painty 0.1
## 3388 9 2 16 2 painty 0.0
## 3389 9 2 19 1 painty 0.0
## 3390 9 2 19 2 painty 12.6
## 3391 9 2 51 1 painty 0.1
## 3392 9 2 51 2 painty 2.0
## 3393 9 2 52 1 painty 2.5
## 3394 9 2 52 2 painty 8.5
## 3395 9 2 63 1 painty 12.3
## 3396 9 2 63 2 painty 4.4
## 3397 9 2 78 1 painty 1.6
## 3398 9 2 78 2 painty 2.2
## 3399 9 2 79 1 painty 0.0
## 3400 9 2 79 2 painty 0.0
## 3401 9 3 3 1 painty 4.3
## 3402 9 3 3 2 painty 6.7
## 3403 9 3 10 1 painty 1.7
## 3404 9 3 10 2 painty 4.9
## 3405 9 3 15 1 painty 7.3
## 3406 9 3 15 2 painty 7.1
## 3407 9 3 16 1 painty 0.3
## 3408 9 3 16 2 painty 0.0
## 3409 9 3 19 1 painty 8.9
## 3410 9 3 19 2 painty 11.3
## 3411 9 3 51 1 painty 4.2
## 3412 9 3 51 2 painty 0.0
## 3413 9 3 52 1 painty 4.5
## 3414 9 3 52 2 painty 9.5
## 3415 9 3 63 1 painty 8.4
## 3416 9 3 63 2 painty 10.5
## 3417 9 3 78 1 painty 3.8
## 3418 9 3 78 2 painty 0.0
## 3419 9 3 79 1 painty 0.0
## 3420 9 3 79 2 painty 0.0
## 3421 10 1 10 1 painty 8.2
## 3422 10 1 10 2 painty 2.9
## 3423 10 1 15 1 painty 2.7
## 3424 10 1 15 2 painty 1.0
## 3425 10 1 16 1 painty 2.7
## 3426 10 1 16 2 painty 3.1
## 3427 10 1 19 1 painty 0.0
## 3428 10 1 19 2 painty 3.6
## 3429 10 1 31 1 painty 12.6
## 3430 10 1 31 2 painty 11.4
## 3431 10 1 51 1 painty 1.4
## 3432 10 1 51 2 painty 0.0
## 3433 10 1 52 1 painty 10.8
## 3434 10 1 52 2 painty 11.0
## 3435 10 1 63 1 painty 1.8
## 3436 10 1 63 2 painty 2.6
## 3437 10 1 78 1 painty 1.3
## 3438 10 1 78 2 painty 6.2
## 3439 10 1 86 1 painty 11.6
## 3440 10 1 86 2 painty 13.1
## 3441 10 2 10 1 painty 3.6
## 3442 10 2 10 2 painty 0.0
## 3443 10 2 15 1 painty 0.7
## 3444 10 2 15 2 painty 3.2
## 3445 10 2 16 1 painty 0.6
## 3446 10 2 16 2 painty 2.1
## 3447 10 2 19 1 painty 10.3
## 3448 10 2 19 2 painty 10.9
## 3449 10 2 31 1 painty 9.1
## 3450 10 2 31 2 painty 10.2
## 3451 10 2 51 1 painty 2.5
## 3452 10 2 51 2 painty 5.4
## 3453 10 2 52 1 painty 7.4
## 3454 10 2 52 2 painty 6.4
## 3455 10 2 63 1 painty 9.5
## 3456 10 2 63 2 painty 10.7
## 3457 10 2 78 1 painty 4.1
## 3458 10 2 78 2 painty 2.4
## 3459 10 2 86 1 painty 12.7
## 3460 10 2 86 2 painty 11.6
## 3461 10 3 10 1 painty 0.0
## 3462 10 3 10 2 painty 1.9
## 3463 10 3 15 1 painty 0.2
## 3464 10 3 15 2 painty 0.3
## 3465 10 3 16 1 painty 4.4
## 3466 10 3 16 2 painty 1.3
## 3467 10 3 19 1 painty 0.0
## 3468 10 3 19 2 painty 11.8
## 3469 10 3 31 1 painty 11.4
## 3470 10 3 31 2 painty 0.0
## 3471 10 3 51 1 painty 3.3
## 3472 10 3 51 2 painty 0.0
## 3473 10 3 52 1 painty 9.0
## 3474 10 3 52 2 painty 9.3
## 3475 10 3 63 1 painty 3.3
## 3476 10 3 63 2 painty 7.3
## 3477 10 3 78 1 painty 1.3
## 3478 10 3 78 2 painty 1.4
## 3479 10 3 86 1 painty 10.5
## 3480 10 3 86 2 painty 9.4Let’s Reconstruct our Plot
ggplot(french_fries_long) + geom_boxplot(aes(x=variable, y=rating, fill = variable))
Long to Wide
In certain applications, we may wish to take a long dataset and convert it to a wide dataset (Perhaps displaying in a table).
head(french_fries_long)## time treatment subject rep variable rating
## 1 1 1 3 1 potato 2.9
## 2 1 1 3 2 potato 14.0
## 3 1 1 10 1 potato 11.0
## 4 1 1 10 2 potato 9.9
## 5 1 1 15 1 potato 1.2
## 6 1 1 15 2 potato 8.8Spread
We use the spread function from tidyr to do this:
french_fries_wide <- french_fries_long %>% spread(key = variable, value = rating)
head(french_fries_wide)## time treatment subject rep buttery grassy painty potato rancid
## 1 1 1 3 1 0.0 0.0 5.5 2.9 0.0
## 2 1 1 3 2 0.0 0.0 0.0 14.0 1.1
## 3 1 1 10 1 6.4 0.0 0.0 11.0 0.0
## 4 1 1 10 2 5.9 2.9 0.0 9.9 2.2
## 5 1 1 15 1 0.1 0.0 5.1 1.2 1.1
## 6 1 1 15 2 3.0 3.6 2.3 8.8 1.5Spread
french_fries_long %>% spread(key = rep, value = rating)## time treatment subject variable 1 2
## 1 1 1 3 buttery 0.0 0.0
## 2 1 1 3 grassy 0.0 0.0
## 3 1 1 3 painty 5.5 0.0
## 4 1 1 3 potato 2.9 14.0
## 5 1 1 3 rancid 0.0 1.1
## 6 1 1 10 buttery 6.4 5.9
## 7 1 1 10 grassy 0.0 2.9
## 8 1 1 10 painty 0.0 0.0
## 9 1 1 10 potato 11.0 9.9
## 10 1 1 10 rancid 0.0 2.2
## 11 1 1 15 buttery 0.1 3.0
## 12 1 1 15 grassy 0.0 3.6
## 13 1 1 15 painty 5.1 2.3
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## 1552 9 3 15 grassy 0.1 0.0
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## 1602 10 1 16 grassy 0.0 0.0
## 1603 10 1 16 painty 2.7 3.1
## 1604 10 1 16 potato 3.0 3.8
## 1605 10 1 16 rancid 9.1 8.5
## 1606 10 1 19 buttery 1.6 3.2
## 1607 10 1 19 grassy 0.0 2.7
## 1608 10 1 19 painty 0.0 3.6
## 1609 10 1 19 potato 11.4 11.8
## 1610 10 1 19 rancid 2.7 8.6
## 1611 10 1 31 buttery 0.0 0.0
## 1612 10 1 31 grassy 0.0 0.0
## 1613 10 1 31 painty 12.6 11.4
## 1614 10 1 31 potato 9.5 5.3
## 1615 10 1 31 rancid 10.7 2.8
## 1616 10 1 51 buttery 2.2 0.8
## 1617 10 1 51 grassy 1.4 2.0
## 1618 10 1 51 painty 1.4 0.0
## 1619 10 1 51 potato 7.6 12.3
## 1620 10 1 51 rancid 5.2 2.7
## 1621 10 1 52 buttery 0.0 0.0
## 1622 10 1 52 grassy 0.0 0.0
## 1623 10 1 52 painty 10.8 11.0
## 1624 10 1 52 potato 0.4 0.0
## 1625 10 1 52 rancid 1.6 4.6
## 1626 10 1 63 buttery 0.0 0.0
## 1627 10 1 63 grassy 0.0 0.0
## 1628 10 1 63 painty 1.8 2.6
## 1629 10 1 63 potato 6.5 6.2
## 1630 10 1 63 rancid 11.1 8.8
## 1631 10 1 78 buttery 0.8 0.0
## 1632 10 1 78 grassy 0.0 1.2
## 1633 10 1 78 painty 1.3 6.2
## 1634 10 1 78 potato 1.2 4.4
## 1635 10 1 78 rancid 0.0 0.0
## 1636 10 1 86 buttery 0.0 0.0
## 1637 10 1 86 grassy 0.0 0.0
## 1638 10 1 86 painty 11.6 13.1
## 1639 10 1 86 potato 0.7 0.7
## 1640 10 1 86 rancid 11.6 14.3
## 1641 10 2 10 buttery 6.8 6.5
## 1642 10 2 10 grassy 2.0 0.0
## 1643 10 2 10 painty 3.6 0.0
## 1644 10 2 10 potato 10.7 10.5
## 1645 10 2 10 rancid 1.6 8.4
## 1646 10 2 15 buttery 1.4 0.1
## 1647 10 2 15 grassy 0.3 0.2
## 1648 10 2 15 painty 0.7 3.2
## 1649 10 2 15 potato 4.8 1.1
## 1650 10 2 15 rancid 2.5 8.3
## 1651 10 2 16 buttery 6.0 3.5
## 1652 10 2 16 grassy 1.2 1.1
## 1653 10 2 16 painty 0.6 2.1
## 1654 10 2 16 potato 4.2 2.9
## 1655 10 2 16 rancid 7.2 9.3
## 1656 10 2 19 buttery 0.0 0.0
## 1657 10 2 19 grassy 1.7 4.2
## 1658 10 2 19 painty 10.3 10.9
## 1659 10 2 19 potato 7.0 10.9
## 1660 10 2 19 rancid 5.7 5.0
## 1661 10 2 31 buttery 0.0 0.0
## 1662 10 2 31 grassy 0.0 0.0
## 1663 10 2 31 painty 9.1 10.2
## 1664 10 2 31 potato 4.6 2.3
## 1665 10 2 31 rancid 10.3 10.3
## 1666 10 2 51 buttery 5.3 5.7
## 1667 10 2 51 grassy 0.8 2.4
## 1668 10 2 51 painty 2.5 5.4
## 1669 10 2 51 potato 11.3 9.9
## 1670 10 2 51 rancid 0.0 1.7
## 1671 10 2 52 buttery 0.0 0.0
## 1672 10 2 52 grassy 0.0 0.0
## 1673 10 2 52 painty 7.4 6.4
## 1674 10 2 52 potato 0.3 3.8
## 1675 10 2 52 rancid 3.8 10.7
## 1676 10 2 63 buttery 0.6 0.0
## 1677 10 2 63 grassy 0.0 0.0
## 1678 10 2 63 painty 9.5 10.7
## 1679 10 2 63 potato 8.6 9.0
## 1680 10 2 63 rancid 7.9 6.7
## 1681 10 2 78 buttery 0.0 0.0
## 1682 10 2 78 grassy 0.0 0.0
## 1683 10 2 78 painty 4.1 2.4
## 1684 10 2 78 potato 5.2 1.5
## 1685 10 2 78 rancid 4.1 1.1
## 1686 10 2 86 buttery 0.0 0.0
## 1687 10 2 86 grassy 0.0 0.0
## 1688 10 2 86 painty 12.7 11.6
## 1689 10 2 86 potato 2.0 1.0
## 1690 10 2 86 rancid 10.4 11.2
## 1691 10 3 10 buttery 9.2 5.4
## 1692 10 3 10 grassy 0.0 0.0
## 1693 10 3 10 painty 0.0 1.9
## 1694 10 3 10 potato 11.3 10.0
## 1695 10 3 10 rancid 3.3 5.4
## 1696 10 3 15 buttery 0.4 3.3
## 1697 10 3 15 grassy 0.1 0.0
## 1698 10 3 15 painty 0.2 0.3
## 1699 10 3 15 potato 2.5 4.3
## 1700 10 3 15 rancid 2.6 2.1
## 1701 10 3 16 buttery 1.4 0.7
## 1702 10 3 16 grassy 1.0 1.6
## 1703 10 3 16 painty 4.4 1.3
## 1704 10 3 16 potato 3.9 2.5
## 1705 10 3 16 rancid 6.7 6.0
## 1706 10 3 19 buttery 4.0 0.0
## 1707 10 3 19 grassy 0.0 4.6
## 1708 10 3 19 painty 0.0 11.8
## 1709 10 3 19 potato 9.1 12.2
## 1710 10 3 19 rancid 5.8 9.3
## 1711 10 3 31 buttery 0.0 0.0
## 1712 10 3 31 grassy 0.0 0.0
## 1713 10 3 31 painty 11.4 0.0
## 1714 10 3 31 potato 6.5 10.4
## 1715 10 3 31 rancid 9.3 5.7
## 1716 10 3 51 buttery 3.2 2.4
## 1717 10 3 51 grassy 0.0 2.0
## 1718 10 3 51 painty 3.3 0.0
## 1719 10 3 51 potato 8.0 11.6
## 1720 10 3 51 rancid 6.8 0.0
## 1721 10 3 52 buttery 0.8 0.0
## 1722 10 3 52 grassy 0.2 0.0
## 1723 10 3 52 painty 9.0 9.3
## 1724 10 3 52 potato 1.2 1.8
## 1725 10 3 52 rancid 1.4 2.6
## 1726 10 3 63 buttery 0.0 0.0
## 1727 10 3 63 grassy 0.0 0.0
## 1728 10 3 63 painty 3.3 7.3
## 1729 10 3 63 potato 7.0 7.0
## 1730 10 3 63 rancid 11.9 11.4
## 1731 10 3 78 buttery 0.0 0.0
## 1732 10 3 78 grassy 0.9 0.0
## 1733 10 3 78 painty 1.3 1.4
## 1734 10 3 78 potato 3.7 3.3
## 1735 10 3 78 rancid 0.0 2.5
## 1736 10 3 86 buttery 0.0 0.0
## 1737 10 3 86 grassy 0.0 0.0
## 1738 10 3 86 painty 10.5 9.4
## 1739 10 3 86 potato 2.5 2.5
## 1740 10 3 86 rancid 7.0 8.2french_fries_long %>% spread(key = rep, value = rating) %>%
ggplot(aes(x = `1`, y = `2`)) + geom_point() +
facet_wrap(~variable) + geom_abline(colour = "grey50")
separate
df <- data.frame(x = c(NA, "a.b", "a.d", "b.c"))
df## x
## 1 <NA>
## 2 a.b
## 3 a.d
## 4 b.cdf %>% separate(x, into = c("A", "B"))## A B
## 1 <NA> <NA>
## 2 a b
## 3 a d
## 4 b cYour Turn (5 min)
The Iowa Data Portal is a wealth of information on and about the State of Iowa.
The website Campaign Expenditures provides data on campaign expenditures. The code below reads the data into an R session.
url <- "https://data.iowa.gov/api/views/3adi-mht4/rows.csv"
campaign <- readr::read_csv(url)Assess the ‘messiness’ of the data. List issues that prevent us from working with the data directly. Which of these issues are of type (1) or (2) of messiness?
Problems with the data
Dateis text, in the format of Month/Day/Year (Messy 2)- city coordinates are a combination of City name, state, zip code and geographic latitude and longitude. (Messy 2)
- expenditure amount is a textual expression, not a number (Messy different)
no Messy 1? - problems of type Messy 1 are typically hard to detect and often up to interpretation/dependent on the analysis to be done.
Your Turn
- Read in the billboard top 100 music data:
billboard <- read.csv("http://heike.github.io/rwrks/03-r-format/data/billboard.csv")Use
tidyrto convert this data into a long format.Use
ggplot2to create something like this time series plot:
Another Your-Turn (10 mins)
During the 1870 census data on people’s occupation was collected. The data occupation-1870 contains state-level aggregates of occupation by gender.
- Use
tidyrto get the data into a long format. - Separate the
occupation.gendertype variable into two variables. - Spread the data such that you can draw scatterplots of values for men against women facetted by occupation.
Dates and Times
Dates are deceptively hard to work with in R.
Example: 02/05/2012. Is it February 5th, or May 2nd?
Other things are difficult too:
- Time zones
- POSIXct format in base R is challenging
The lubridate package helps tackle some of these issues.
Basic Lubridate Use
library(lubridate)
now()
today()
now() + hours(4)
today() - days(2)## [1] "2017-06-14 08:49:44 CDT"
## [1] "2017-06-14"
## [1] "2017-06-14 12:49:44 CDT"
## [1] "2017-06-12"Parsing Dates
ymd("2013-05-14")
mdy("05/14/2013")
dmy("14052013")
ymd_hms("2013:05:14 14:50:30", tz = "America/Chicago")## [1] "2013-05-14"
## [1] "2013-05-14"
## [1] "2013-05-14"
## [1] "2013-05-14 14:50:30 CDT"Your Turn
The flights dataset contains information on over 300,000 flights that departed from New York City in the year 2013.
flights <- read.csv("http://heike.github.io/rwrks/03-r-format/data/flights.csv")- Using the
flightsdata, create a new column Date using lubridate. You will need to paste together the columns year, month, and day in order to do this. See thepastefunction. - Use
dplyrto calculate the average departure delay for each date. - Plot the date versus the average departure delay
